{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.neural_network import MLPRegressor\n",
    "from sklearn.metrics import mean_squared_error\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 洛伦兹方程的函数定义\n",
    "def lorenz(x, y, z, sigma=10, r=28, b=8/3):\n",
    "    dx = -sigma * x + sigma * y\n",
    "    dy = -x * z + r * x - y\n",
    "    dz = x * y - b * z\n",
    "    return dx, dy, dz\n",
    "\n",
    "# 使用4阶Runge-Kutta方法生成洛伦兹吸引子的时间序列数据\n",
    "def generate_lorenz_data(timesteps, dt=0.01):\n",
    "    x, y, z = 1.0, 1.0, 1.0  # 初始条件\n",
    "    data = []\n",
    "    for _ in range(timesteps):\n",
    "        dx1, dy1, dz1 = lorenz(x, y, z)\n",
    "        x += (dx1 ) * dt \n",
    "        y += (dy1) * dt \n",
    "        z += (dz1 ) * dt \n",
    "        data.append([x, y, z])\n",
    "    return np.array(data)\n",
    "\n",
    "# 生成数据\n",
    "timesteps = 3000\n",
    "data = generate_lorenz_data(timesteps)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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KBAKBQCAQjFGEEBQIBAKBQCAYowghKBAIBAKBQDBGEUJQIBAIBAKBYIwihKBAIBAIBALBGEUIQYFAIBAIBIIxihCCAoFAIBAIBGMUIQQFAoFAIBAIxihCCAoEAoFAIBCMUYQQFAgEAoFAIBijCCEoEAgEAoFAMEYRQlAgEAgEAoFgjCKEoEAgEAgEAsEYRQhBgUAgEAgEgjGKEIICgUAgEAgEYxQhBAUCgUAgEAjGKEIICgQCgUAgEIxRhBAUCAQCgUAgGKMIISgQCAQCgUAwRhFCUCAQCAQCgWCMIoSgQCAQCAQCwRhFCEGBQCAQCASCMYoQggKBQCAQCARjFCEEBQKBQCAQCMYoQggKBAKBQCAQjFGEEBQIBAKBQCAYowghKBAIBAKBQDBGEUJQIBAIBAKBYIwihKBAIBAIBALBGEUIQYFAIBAIBIIxihCCAoFAIBAIBGMUIQQFAoFAIBAIxihCCAoEAoFAIBCMUUzxXoBAIIgPiqLg8XhwOp2YTCZMJhNGoxGDwYAkSfFenkAgEAhigKQoihLvRQgEgtgiyzJutxufz4fL5dKEnyRJGAwGzGYzRqMRk8mEJElCGAoEAsEeihCCAsEYQlEUfD4fHo8HRVGQJAm3243BYEBRFBRFQZZl7XeSJGmCUI0YCmEoEAgEew5CCAoEYwQ1Fezz+QB/9E9RFE0I9vf8UIRhf38rEAgEgtGBqBEUCMYAahRQluWgGsDB7gNV4acKPVUYer1e7bV27NjB5MmTSUhIwGg0CmEoEAgEowwhBAWCPRhVuHm9XoARNYL0FoZOp5OamhpycnKCXj8wWiiEoUAgEOgbIQQFgj0UWZa1yB0Q8do+9bVUsadGDD0eD263W9ueEIYCgUCgX4QQFAj2MNS6vk2bNmEwGMjJyYlKc0fv1+wvlayKUY/Hoz0nUBiqXckCgUAgiA9CCAoEexCBDSFtbW2YTCZyc3Ojvs3+UBtLAp+nCsP+IoaBXckCgUAgiA1CCAoEewiqyPL5fFotYDRNAUJpOOn9/KGEocFgwGg0aj6GQhgKBAJBdBFCUCAY5ajegF6vN6grOFZCcCR/H4ow7F1jKIShQCAQRA4hBAWCUUxvb8DArmBJkrRGkWivIRIECkP1NdUJKOr0EyEMBQKBILIIISgQjFIG8gZUibZAiubrB3YkgxCGAoFAEC2EEBQIRhmB3oCKogzoDRjt1HDgeqJNf8JQ/XG5XLjdbrZv3056ejqpqalCGAoEAkGICCEoEIwiZFnG6/X2mwrujd5rBEe67UBxqCgKTU1NmM1mLBZLUMRQbTwxmUwjMtQWCASCPREhBAWCUUBgI0Xg3N/B2JMigkMR6GFoNpuDIoZOp1N7jvr7wDnJQhgKBIKxjBCCAoHO6d0QEuqEEL3Zx8QCdS39RQz7E4ZqpFAIQ4FAMFYRQlAg0DH9eQOGSqhCcCSzh0cLAwlDWZaFMBQIBGMaIQQFAh0ykDdgOIQqBAOjaMNdqx4IVyQPJAxdLhdOpxODwdCnK1kIQ4FAsKchhKBAoDMG8wYMh1jUCMaqDjHa9E63q8LQ5/Ph8/kGtKsRwlAgEIx2hBAUCHSE6pM33ChgILESgnsigc0nECwMvV6v9vveqeRQ6zcFAoFALwghKBDoAFVkqF3BkYg0hSIE1eYJq9U66lPDEL21DCQMvV4vHo9HCEOBQDBqEUJQIIgz4XgDhsNQQtDj8bB+/Xqam5tJSEggPT2djIwMMjIysNlsIXcmj0WGEoY+n4/m5mYmT55MQkKCZm6tPl8gEAj0ghCCAkGcGI43YDgMJgQdDgclJSWkpKSwcuVKnE4nDoeDHTt2UF1dTUJCgiYKMzIysFqtg74PPaAHg2tV6Hm9XmpqasjNzaW7uxug33F4QhgKBIJ4I4SgQBAHAsfEQejegMPZTu9/19fXU1tby8yZM5kyZQoejwer1UpGRgbgn2Hc1taGw+Fg69atbNiwQfu9+pOQkKCtW0/oTZSaTP5TrBox9Hg8uN1uQAhDgUCgD4QQFAhiTKA3YGAUKdIYDIYgYeRyuSgtLaW7u5tly5aRlpbWr3AyGo1kZmaSmZkJ+KNbra2tOBwOGhoaKC8vJykpiYyMDO29CILpvV/7SyWr+07df5IkCWEoEAhijhCCAkGMiIQ34HC2CdDS0kJpaSkZGRkUFRVhNptDfg2TyURWVhZZWVkAuN1uTRjKssy6detISUnRooVpaWlaJEzQP2pjiUoowtBkMukuAisQCEY/4mwtEMSASHkDhoMkSciyzMaNG9m0aRNz5sxh0qRJI95uQkICEyZMYMKECezcuZM5c+bg9XpxOBxUVVXhcrn6CMNA0SPoy2DC0O12a9FEo9GI2WzWIoZCGAoEgpEihKBAEGUi6Q0YDh6Ph66uLnw+HytWrCAlJSUq2zGbzWRlZTFx4kQAenp6tIhhZWUlHo+H1NRUTRimpqZGJeW5J4miUIVh71TynrQPBAJBbBBCUCCIEtHwBgyV5uZmqqqqMBgMrFy5Mmqp2v7ej81mw2azkZOTg6Io9PT04HA4cDgcbNmyBZ/PF2RVk5KSErH9opdmEYisMA0Uhup7VG8wBpp6IoShQCAIBSEEBYIooCgKdrsdgMTExJiJQFmWqa6uprGxkcmTJ9PS0hL1er3BxJckSSQmJpKYmEheXh6KotDV1aUJw4aGBoAgYZiUlDTqBUw0BWngjOTAbQlhKBAIhoMQggJBhFGjgHV1ddhsNmbOnBmT7XZ3d1NSUoKiKBQVFdHd3c2uXbuius1wx9hJkkRycjLJyclMnjwZRVHo6OjA4XDQ0tJCXV0dBoOBjIwMTRwmJiYKATMIgwlDl8uF2+1GURRaW1sZP358kMG12K8CgUAIQYEgQvT2Buxt3xJNtm3bRnl5Obm5ucyZMweDwUBPT4+uUqX9IUkSqamppKamMnXqVGRZpqOjA7vdTnNzMzU1NZhMpiAPQ5vNFu9l65pAYWg0GrXjcv369axYsSLo+FQbT0wmU0xLFwQCgX4QQlAgiABqIb8sywBaai7aQszn87Fhwwa2bdvGwoULyc7O1n4XbrRuOER6GwaDgbS0NNLS0pg2bRo+n4/29nYcDgfbtm2jqqoKi8USJAwtFou2FkFfAs3KVeGnGlw7nU7tOaowVFPJQhgKBGMDIQQFghEQ2M3ZuytYtW+JFp2dnRQXF2MymVi1alWfSFmshGA0MRqNmuADv7m1OvWksbGRiooKEhMTycjIwO1268rcWo8iShWFgVFDVRQKYSgQjE2EEBQIhslQ3oAGg0H7XaS3u3XrViorK5kyZQozZ87s144lVCE4UsEYy/SzyWRi3LhxjBs3DvBb5KhWNT09PdTU1LB9+3ZNPKanpwtza3Z/Rv0JuVCFoZpCFsJQINizEGdIgWAYBI6JG+iCGI2InNfrpby8nJaWFvbee2/Gjx8/4HNHY2o4XMxmM+PHj2f8+PF0dXUxbtw4LBYLDoeDjRs30tPTQ2pqqtZ4kp6eHhNza73VZobb0NOfMFSbT5xOJwaDoU9XshCGAsHoRAhBgSAMwhkTF+nUcHt7O8XFxVitVoqKirBarYM+f09IDYeLyWQiOztbq5V0Op2aVc2GDRtwu91B5tZpaWljap7vcD6vQGEIaMLQ5/Ph8/kGtKsRwlAgGB0IISgQhEi4Y+Ii1SyiKAqbN2+murqaadOmUVBQENIFNlbROr1Ev/rbJ1arlZycHM3cOlAYNjU14fV6SUtLCzK33hOFYSQ/I1UYqvtpIGGoppID5yQLYSgQ6A8hBAWCEFC9AcMZExcJIebxeCgrK6O1tZXCwkIyMzND/tuxGBEcDEmStKknubm5KIpCd3e3Jgw3b96MoihB5tbJycnDfo963DfRWNNAwtDr9eLxeLTf964xFMJQINAHQggKBIMQ6A0Y7pi4kaaGHQ4HJSUlpKSksGrVKhISEsL6+7EWEYTwa+GSkpJISkpi0qRJKIpCZ2enJgzr6+uRJCnIqma0mlvH8jMKVRhKkoTZbNYsbfbESKxAMBoQQlAgGABZlvF6vSGngnszXCGmKAr19fXU1tYyY8YM8vPzhy0+REQwdCRJIiUlhZSUFKZMmaKZWzscDnbu3KmZWwdGDG02W7/7QE/iGAbvGo42AwnD6upqDAYD06dPR5KkPuPwhDAUCGKDEIICQS8CvQEVRRl2Cms4NYIul4v169fT1dXFsmXLSEtLC3u7KmMtIhhpkRNobp2fn48sy5qH4Y4dO6iuriYhISEoYjhUA0880Yto792VrHYmezwe3G43QL9zkoUwFAiigxCCAkEAvRtCRlLHFG5quKWlhdLSUjIyMigqKsJsNg9ru4Hbjzbxto+JJeoMZNXc2ufzacJw69atbNiwAavVqkUK9bRf9LQWlcCbrP4ihqowVH8vhKFAEB2EEBQI/kco3oDhEKpIkmWZ2tpaNm3axOzZs5k8eXJERJy6ffWCGw30EmWKB0ajkczMTK2Bx+v1aubW27ZtQ5Zlvv322yBz65GK+5Ggt89qoOOyP2GofjfVyTG9haHalSwQCMJHCEHBmCccb8BwCCU17HQ6KSkpwe12s2LFClJSUka8XZVw3sNIxKKeok3xXIvJZCIrK4usrCxycnL48ccfmTZtGg6Hg9raWrq7u0lJSQnyMIzV1JNo3gwMl1DXpHYcB/6dKgzViKHBYOi3K1kgEAyNEIKCMU243oDhMFRquLm5mfXr1zNhwgQKCwsjLgrU9xHtiKCehKCekCSJCRMmMGHCBMBf/6l2JFdVVeFyufoIw1hMPdELwz0uwxGGakeyEIYCwcAIISgYs8iyjNvtjmgUMJCBRJIsy1RXV9PY2Mj8+fPJzc2N6HYDtw/6ithFEz1d6Pvb5xaLhYkTJzJx4kQAenp6tFRyZWUlHo8naOpJampqxOrgRnNEcCgChaG63/sThr1rDPW2PwSCeCGEoGDMoaaC1a7gaI3C6i813N3dTUlJCbIsU1RURFJSUsS3qxILISgigsNHNbdWp5709PRoEcMtW7bg8/mCrGpSUlL2iPS9SjTEaWA3sroN2H3TN9A4PCEMBWMZIQQFY4qRegOGQ2+RtH37dsrKysjNzWX27NlRTwPGSggKRo4kSSQmJpKYmEheXh6KotDV1aUJw4aGBoAgYZiUlBS2r6XeiPaaBhOGLpdrULsaPe4vgSAaCCEoGBNEyhswHNQaQZ/Px4YNG9i2bRsLFizQUoPRJlapYT1Fm/S0lpEcX5IkkZycTHJyMpMnT0ZRFM3cuqWlhbq6Os3ORhWHg0090dN+UYlHuro//0L1x+VysXHjRlJSUsjKyhLCUDBmEEJQsMcTOCYORuYNGA4GgwGfz8fXX3+N0WikqKiIxMTEqG9XRUQE9xwkSSI1NZXU1FSmTp2qTT2x2+00NzdrU08Cza1tNluf19ATsizHfU29za3b29uxWq2aMAxMJZvNZk0YRjOTIBDEGiEEBXs0gd6Agd5ksWDXrl24XC5yc3OZOXNmzA1wQxGCkRDFeok26enCHO19Ejj1ZNq0afh8Ptrb2zUPw6qqKiwWiyYK9RjR0msDi9px3Dti6HQ6AYQwFOxxCCEo2COJljdgKHi9XioqKmhubsZkMjF79uyYbLc3ollk7GA0GoOmnni9Xm3qSWNjIx0dHUiSRFVVlZZOTkhIiOua9SwEVXpHDAcShr09DIUwFIwmhBAU7HEoikJbWxs+n4/ExMSYnpTb29spLi7GarWy9957U1JSEpPtDkS0hZq42OkTk8nEuHHjGDduHOCPTldWViJJEvX19XR1dZGcnBw09SRW5tYqehSCQ6WrBxKGsixrwtBgMPRpPhHCUKBnhBAU7FGoNhGbNm1CURTmzZsXk+0qisLmzZuprq5m2rRpFBQU0NnZGdas4WgQi4idniKCelqLnlBTnbNmzQLA7XZrHck1NTV0d3eTmpqqNZ6kp6fHxNxab+Kod0RwKAYShj6fD5/Ph9PpFMJQoHuEEBTsEfT2BjQajdpc0mjj8XgoKyujtbWVwsJCbfasHtKmsYgIxvs96hW9XegD15OQkEB2djbZ2dmAf9Shw+GgtbWVDRs24Ha7g8yt09LSIl7jqseI4EjX1N+c5EBh2Lv5JHBOst72hWDsIISgYNTT35g4g8EQk2hca2srxcXFpKSksGrVqqC6q1BmDceCodawp1yA9pT3EQ2GEjhWq5WcnBzN3FoVhg6Hg6amJrxeL2lpaUHm1iMVhnoUgpHuZB5MGHq9Xu33/c1J1tu+Eey5CCEoGNWoUcDeDSHRFoKKolBfX09NTQ0zZ84kPz+/z4lbjZbF84IXysV6JGJVRAT7R2/7JJz1SJKkTT3Jzc1FURS6u7s1Ybh582YURQkyt05OTg77GNejEAw3NRwuAwlDr9eLx+MJEoaBc5Jj7TggGFsIISgYlfT2Buxdc6OaOUcDt9tNaWkpXV1dLFu2jPT09H6fF9i1G88LXrzrFAX6YLjHoCRJJCUlkZSUxKRJk1AUhc7OTk0Y1tfXI0lSkIfhYObWKvH+XvRHrL0NQxGGLpcLQKvbFMJQEGmEEBSMOlRvQFXg9JdGiVZatqWlhdLSUjIyMigqKsJsNg/43MCTe7yIxfQUPUW/9LQWPRHJ/SJJEikpKaSkpDBlyhTN3NrhcLBz507N3DowYmiz2foci3owlO5NtCOCQ9GfMNy5cyft7e3MnTsX6H8cnhCGgpEghKBg1BA4Jm4ob8BIp4YVRaGmpoZNmzYxe/ZsJk+ePORFLFYj3oZag7CPiQ962zfRWk+guXV+fj6yLNPW1kZrays7duygurqahISEoIih1WqN6pqGi97EaWBHstls1iKGHo8Ht9utCUchDAUjQQhBwaigv4aQwU7YkRSCTqeTkpIS3G43K1asICUlJaS/U9cXz9TsWLKP0dMFXG/E8jNSZyBnZGRoU09Uc+utW7eyYcMGrFarZmGTmJgYd3NrFb2mq1Vh11/EUL05Vl0SegtDtStZIBgIIQQFuidwTFyo/luREkA7d+6ktLSUCRMmUFhYGJbprl5Sw2PJPkYva9HLOgKJlxgwGo1kZmZqtkper5fW1lbKysrYvn079fX1JCUlBZlbD1ZyEU3inRruj0Ah2Bu1sUQlUBj2FzEM7EoWCFSEEBTolpGMiRtpRFCWZaqrq2lsbGTevHnk5eWF/RoiNSzQC3qKdJlMJrKysjAajSxYsACr1ao1ntTW1tLd3U1KSkqQh2Espp7Eu8N/IAYTgr0JRRiqs5QDu5L19p4FsUUIQYEuCTcV3JuRCMHu7m5KSkqQZZmVK1eSnJw8rNcZLanhkV4E9Bj9EgSjx89IFV1ms5kJEyYwYcIEAFwulyYMq6urcTqdfYRhNKaeqPtIjxHB4UZIQxWGvWsMhTAcWwghKNAdA3kDhsNw7WO2b99OWVkZubm5zJ49e8QXnHibSouIoEBFb5/VQNE3i8XCxIkTmThxIgA9PT20trbicDiorKzE4/EETT1JTU2NiHgLdCHQE5FsYAkUhup5QR3LGTj1RAjDsYUQggLdEOgNqNbqDPcEFK4A8/l8bNiwgW3btrFgwQLtIjRS4l1DF8r21ZTYcNFLtElPFyu9pRj18hkFEuo+Us2t1aknPT09WsRwy5Yt+Hy+IKualJSUYe17dR/p6XOD6NUtBnYkq9sBIQzHIkIICnSBLMt4vd5hp4J7E05quLOzk5KSEgwGA0VFRSQmJg57u72JprF1qNsfTAS0tbWxbt06vF5v2IbAoby+QD/o7eI9HLEsSRKJiYkkJiaSl5eHoih0dXVpwrChoQEgSBgmJSWFtB09p4Zjsab+hKH643K5cLvdQP8+hno7tgThIYSgIK4E1qyoF4ZInFRCFYJbt26loqKCKVOmMHPmzIifcPWaGlYUhc2bN1NdXc306dNJSUmhtbVVMwQ2m83ahTQzMxOLxTLgNvQkBPW0Fj2ht/0SqcYMSZJITk4mOTmZyZMnoyiKZm5tt9upq6sLsrNJT08f8CZHz6nheIjTwHOx0WjsIww3bNigdYOrjScmk2nEN/GC2COEoCBu9G4IieSg9aEEmNfrpaKigp07d7L33nszfvz4iGy3N/GOmPW3fa/XS1lZGQ6Hg8LCQtLS0vB4PKSnp5Ofnx/k+7ZlyxYqKytJTEwkMzNTu6CqXZzxfn+C0NBbqlol0muSJInU1FRSU1OZOnWqNvXEbrfT3NzMxo0bMZlMQdFvm80GENEb0UgSLyHYm97CsK2tjbS0NBRFwel0as8xGAyYzWYtYiiEof4RQlAQF4bjDRgOg6Vk29vbKSkpwWKxsGrVKm3KQTTQW2q4o6ODdevWYbPZKCoqwmKxaDWZKoG+bwUFBXg8HlpbW7Hb7dTW1tLT06N1cTqdTl1cpARDo6eLcazq8QKnnoC/Fri9vR2Hw8G2bduoqqrCYrFo5RB6RC9CsDeyLGup4d4Rw0BhqEYKhTDUL0IICmLKSLwBw6G/1LCiKDQ2NlJVVcW0adMoKCiIyYUo3hEzdftqdC8/P58ZM2aE/N7NZjPjx4/XoqZOp1NLve3atQufz4fT6dQihsMt1h8peru46Gk98T4GexOvxgyj0ahFAsEfHVej39u3b0dRFL755pugVHK8p57o0eQadgtBlYFSybIsa8LQYDD0qTEUwjD+CCEoiBkj9QYMB1WAqekej8dDWVkZra2tFBYWalMOok28I4IGgwGfz8f69etpbm5m8eLFZGVljeg1rVYrOTk55OTkUFdXR2dnJxkZGTgcDjZt2oQkSVptoZp6G2sner0JL9CnMI33mkwmE+PGjWPcuHFkZ2ezbt06CgoKcDgc1NfX09XVRXJycpAwjIW5dSB6m3+sMlSkcjBh6HK5tGyCEIbxRwhBQUxQLQmiGQUMJHC8W1tbGyUlJSQnJ7Nq1aqY3uHHu4bO5/NRW1uLzWaLShpcHV81efJkJk+erNVkORwOduzYQXV1NQkJCZoozMzMjOr+16MA0wN6qxHUixAMRD03BUa/3W635mFYU1OjlUWoXcnp6elRMbfub116Qy3rCZXe9ZeqMPT5fPh8viC7msDmEz3Wbe5pCCEoiCrqF13tCo7V3Z66jbq6Ourq6pg5cyb5+fkxP6HEMzW8bds22trayMzMpLCwMGpeZIHvL7AmS208US+kjY2NVFRUkJSUpAnDeERYBPFHj0KwvxRsQkLCgFNPNmzYgNvtDjK3TktLi/j3TK9CcKTrUgVe4E17YOmQ+vveNYZCGEYecQYWRI1IewOGg9frBfx1ccuWLSM9PT0m2+1NPCKCsiyzYcMGmpqaSElJITs7O24XEqPRqKXeADwej3Yh3bhxI06nM+oX0nihp4uViAgOTSgp2MCpJ2pThHo8NzU14fV6SUtLCzK3HunxrEchqKZ4I7mugYSh1+vF4/EMKAz1tm9GI0IICiJOtLwBQ6WlpYXS0lIACgsLSUlJidm2exPrGsHu7m6Ki4sBKCoqYsOGDVHdfrhCt/dc2cApEVu3btWmRKgRw+Tk5JCPHT2JCr2ht5S53tYD4TdlSJKkTT3Jzc1FURS6u7u143nz5s0oihJkbh3O8TzcdcUC9fOLZlo8HGGoppKFMBweQggKIkrgmDiIrDdgKNuuqalh06ZNzJ49m4qKiqjX7wxFLFPDzc3NlJaWkpuby5w5c0KOwI7k8xnpZ9v7QqpOibDb7dTX1weZAWdmZmqeb3pHj0JHT0JZj559I42aSpJEUlISSUlJTJo0CUVR6Ozs1IRhfX291kgVzgQfPTaLBGZ5YsVQwlBdjyRJmM1mTRwKYTg0QggKIoYsy+zcuZPOzk5yc3Nj+gV0Op2UlJTgdrtZvnw5qampbNiwIe4X5FikhmVZprq6msbGRhYsWEBOTk5Mtx+p1+89JUKWZc3zbfv27VRXV2ueb2rEsHfjSbw/b72it/2it1Q1RF5wSZJESkoKKSkpTJkyBVmW6ezsxG63axN8TCZTUMSwvw57PaaG1SxDPNc1kDAsKysjNTWVvLy8fsfh6W1f6gEhBAUjJrDAt7W1lZaWFiZNmhSz7e/cuZPS0lLGjx9PYWGh1nwQzrzhaBHt1LDT6aS4uBiv18vKlStJTk7us/1oioBovr7BYCA9PZ309HSmTZumeb7Z7XYaGhooLy/XrD0yMzPj/lnrGb0JL72tB6KfgjUYDNrUk/z8/KAbncAO+8CIocVi0WVqWBXNelqXKgwVRdEmm6glSmrEUHU5UIWh2pU81hFCUDAiensDql++WBAYCZs3bx55eXlBv9eDEIxmanjXrl2UlJQwYcIE5s2b128aPBShFs/UcDgEer6B39pDTbtVVVXhdDqxWCxaOjk1NVVXF6p4o6cLnh6FYKxTsL1vdAJHO27dupUNGzZodk8tLS2MHz8+7ubWKnqMUqoETqsKPCcG1q673W5NOKrCMLAreawhhKBg2PTnDagaGEeb7u5uSkpKkGW530gYxN/DL1prCKyFnDt37qDR19GUGg6XhIQEsrOzyc7OBqC8vByPx0NXVxdbtmxBlmUt7ZaZmUlSUlJMT/J6uqDE+3vQGz0KwXivKXC0I/idD1paWigvL2fr1q1UVVWRlJQUZG5tNpvjsla9C8GBboqHEoYGg6FP84nejtNoIISgIGwG8wY0Go1Rj8Jt376dsrIycnNzmT179oANIXqICEY6NexyuSgtLaWnp4cVK1YM2REdqhAc7slOTydJk8mE1WqloKCgT6F+XV2ddqENrMcaS+jps4q36OoPvaVgTSaTNgqvsLAQWZaDjueuri5t5rdqvRQrT85wzaRjSe/RdwMRqjDsXWOot+M2EgghKAiLocbERVN8+Xw+NmzYwLZt21iwYAETJ04c9Pl6EIKRTA3b7XZKSkrIyMhg8eLFIZ309+SIYH8E+tP1LtRvb2/Hbrezbds2qqqqsFqtQY0nkYyu6GmfgD7Xo7cLqh67cwObMoxGY7/m1q2trVRXV+N0OvsIw2i5JoQqtuLBcEVqoDBUvy9q1itw6smeKAyFEBSEjBoFHGxMXLTEV2dnJyUlJRgMBoqKikhMTBzyb+I951ddw0gvwoqiUF9fT21tLbNnz2by5MlheeuN1maRSBJYjwVojU2qrUdZWRnJyclBE0/0eqEbLnq6YOnxmNFbRBB2i9P+PrtAc2vwe3Kqx3RlZSUejyfIrD2SNbOjMTUcDoEZLtjzhaEQgoIh6e0NOJg/XTSE4NatW6moqGDKlCnMnDkz5BNQPMe7qYxUjLrdbtavX09nZyfLli0jLS0t7O3Hex/EinBOwCaTiaysLLKysgD/frbb7UGjw9QJEZmZmRGZEBFP9BaB09t6QL8RwVCPO9WTMycnB0VRgszat2zZopm1B049Ge771bMQjEa0sj9hqP64XC7cbjfgv+Z8+eWXmEwmDj/88IiuIZoIISgYFLVmQhUzQ5nARlIIer1eKioq2LlzJ3vvvbc2CD5URntquLW1leLiYlJTUykqKhp26lJEBIcmISEhaHSYehG12+00NjaiKEqQsXUoRsB6EhV6+4z0GH3Tozgd7n6SJInExEQSExPJy8sLMmt3OBw0NDQABAnDcJqp9FojqNavR3ttgddBo9EYJAzfeustkpKShBAUjH4CC2cHSwX3JlJdwx0dHRQXF2OxWFi1apVmoxAOehCCwxFKiqKwefNmqqurmTFjBvn5+cO+QEW7i1tvF85I0N9FVDUCbmlpoba2VivkV1PJwzk+Y42ePqs9SXRFk0hFKXubtSuKQkdHB62trdjtdurq6oKm+KSnpw96s6PXiKB6vo91WUegMOzq6tLqOEcLQggK+jBUQ8hgjLRrWFEUGhsbqaqqYtq0aRQUFIyoozXekZBwU8Ner5eysjIcDgf77LOP1jU4EsZis0gkCWw8mTp1KrIs9/F7s9lsQUbAetonoK/PCPQpBEd7ajgcJEnSzK3VZqqOjg4cDgfNzc1s3LhRu9npr8ter80i8RKCgXR1dfVrZ6ZnhBAUBKFGAQNNOcNBTYUO50Tv8XgoKyujtbWVJUuWaMbBw2W0RQTb29spLi7GZrOxatWqiJjHxqJZZKwRGDmZPn06Xq83aJ5sWVkZNpsNr9eL3W6PavdmOOjps9KjENRrRDAWazIYDKSlpZGWlkZ+fj4+n0+beqJ22avjHTMyMnC5XLrbVxCfGci96e7uFkJQMDoJHBMXTiq4N+oXMNw7xtbWVkpKSkhKSoqYCNKDEAylRlBRFLZu3UplZeWIo6C9ifbFVg9RV5V4CQuTycT48eO1GlaXy0VDQwPbt2/Xujd7N57Eeq16E156Ww+MbSHYG6PRqIk+QBvv6HA4aGxspKOjA6PRSFVVlZZK1sPUk+EGMCJJV1cXSUlJcdv+cBBCUDCiVHBvwhWCiqKwadMmampqRlwP1xu92McMtga1IWbXrl0RiYKGu/1IoBchqBfUyElraytLly6lu7tbixhu3rwZ8Bfpq/WFoTSeRAI9CS89HjN6THfqRZz2Hu9YXV1Nd3c3kiRRX1+vpUMDawxjZW4diB4+Q5EaFow6QvEGDIdAITgUbreb0tJSurq6WLp0qebxFin0Yh8z0Bo6OzspLi7GbDZTVFQUlYaDWEQEBf2jFpAnJSWRlJTEpEmTtCJ9u93Ozp07qampwWw2B3UkWyyWiK9FbxE4va0H9CO6AtFj3aJKcnIyM2bMAPznctXDsKamhp6eHlJSUrSu5Fj5csa7m1ntzhZCUDAqCPQG7D0mbiSorzGUEFSnZKSnp4/IGmUw9Jwabmpqory8PGxvxHAZq5NF9Epgkb5ai6Wm3LZs2UJlZSWJiYlBo/DiEVmJNnoUgnoUXXruzg08LhMSEvqdeuJwOKiqqsLlcgWZW6elpUXlfUXCTHqkCCEoGBXIsozX641IKrg3qtv6QJYliqJQW1tLfX192FMywkUPQrC3EFPH5G3fvp299tor6jYDolkkPoS6z9X5x5mZmRQUFODxeDRLj9raWi2yokYLU1NTh3Wh05vw0tt6QL8RQb2tCYaOvPU39UQVhk1NTXi9Xq1uVjW3jsT71EtqWNQICnRLoDegeiKOxsl4IAsZp9NJaWkpTqeT5cuXk5qaGvFtB6KHGsFAMdrd3U1xcTGSJFFUVBRkxxAtxlJEUE+NK8PFbDYHNZ44nU7tAlpeXq5dQNWIYaiNJ3rbL3oVXXoTp3oVguGuS516kpubi6IoQXWzjY2NyLIcZG6dnJw8rM9CL6nhlJSUuK1hOAghOEbo3RASLREI/Ufidu7cSWlpKePHj2fJkiUxSXdF20w5FFRxsmPHDtavX09eXh6zZ8+O2clKRARHN1arlZycHG1sWHd3tzYKb9OmTUiSFGRsbbPZBvxM9PRZ6TUiqLc17SlCMJD+6mY7OzuDLJjU41r9CbWhKt6pYZfLhc/nE0JQoD9G6g0YLoFCUJZlNm7cyObNm5k3bx55eXlR3XbvdXg8nphtbyA6OztZv349CxYs0FIlsSIWQlBv0Sa9EOnvWeAFdPLkyUEmwDt27KC6upqEhISg+kK18URvn5He1gMiShkOkUzBBhq2q+bW6iQftaHKZDIFRQwHuuGJd2q4q6sLQKSGBfohUt6A4aIKwe7ubkpKSpBlmZUrV8a8gDbeNYI9PT3U19fj8XgoKiqKy8lhLKWGQV9riTb9mQC3tbVp85ErKipISkoiIyMDp9OpqzF4eo2+6W1NiqLEveatP6KZgjUYDEENVbIsa+bWgTc8gRFD9diOd2q4s7NTG1E5mhBCcA8lkt6A4WIwGGhpaaG4uJicnBzmzJkTl5NZPIWgmgpPSUnBbDbH7Q5RpIbjQzwEaWDjCfgn9ajpNnWurMPhiHrnZijoUQiKiGDoxDJlbTAYSE9PJz09nWnTpgV12qsjHq1WKxkZGbjd7rhHBIdb3xhPhBDcA5FlGbfbHdMooIrP59MmKyxatCjmqdBA4pG2lGWZmpoaGhoamDdvHkajkbq6upiuIZCxFBEcbSffaGM2mzVLD4/Hg9VqJTExMahzM9DYOpYXMD0KQT2KrninOgcinrWLvW94vF6vdpPT1taGx+Ohs7MzyNw6GvZk/dHV1RUzg/hIIoTgHoSaCla7gmMtAru6uiguLsbn8zFz5sy4ikCIfUTQ5XJRUlKCy+VixYoVpKSk0NzcHFehJGoEBSoJCQnk5uZqnZtdXV04HA7sdjv19fVBM5QzMzOj2tWuRyGoxzXJshwzERMOehKoJpOJrKwssrKytNRweno6ra2t1NXVaV28gZHwaDUrjkbrGBBCcI8hmt6AobB161YqKiqYPHkyCQkJujDBjaUQbGlpoaSkhHHjxgV1RcdbKInUsAD6ihxJkkhOTiY5OTmo8cRut2t1WOqoPDViGMlZsnoUXXpNDettTaDfdfl8PqxWax9zazViWF1djdPp7CMMIyVqOzs7SUpK0t2xPRTxv1oLRoQ6IcTpdGIymaJqC9Mf6qzcnTt3svfeezN+/Hh++umnuPv3Qezm7NbV1VFXV9evQXa8vQxDFYIjOWb0FBHUy1r0KHQGI7DxRK3DUo2tGxoaKC8vj+gsWT3uHz2mhvUoTiH+TRkD0V+k0mKxkJ2dTXZ2NhDszVlZWYnH4wmaepKamjrs99bd3T3qpoqAEIKjGlUEbt++naqqKvbdd9+Ynsg6OjooLi4mISGBVatWaZ1b8e7WVYn2rOHAWcnLli0jLS2tz3PiHRGE0MSR+pxwjx+9XTgF/ROu8DIajYwbN45x48YB/mNdvXhWV1drI8PUaGG4F089CkE9ii49ilPQd0RwqHX19uYMnHqyZcsWfD5fkFVNqKbt4I8IjraOYRBCcNTS2xswlicMRVFobGykqqqK/Px8ZsyYEbRtPQnBaK3D4XBQUlJCWlraoLOSoy1GhyIWJ+t4C10VPV4w9cJIP6OEhISgqIp68bTb7WzZsiVoMkRmZuaQ6TE9CkE9ii49Ci5FUXRtaxPOulSrl8TERPLy8oJqZx0OBw0NDQBBwnCwY3s0zhkGIQRHHf15A5pMpphN0PB4PJSXl+NwOFiyZIkWMQhkTxaCiqLQ0NDAxo0bmTlzJlOnTh304qGHiGA0Pwu9XTgFAxPJz6r3yLDekyHUxpPAiSeB6FEI6nFNehSC6vlEb+uCkTex9K6dDTy27XY7dXV1QU1V6enpQV3CQggKos5A3oADzfaNNK2trZSUlJCUlERRUZE2taA3ehGCkRZhHo+HsrIy2tra2GeffcjIyAhpDfGuEYz268db6Aaip7XoiWg3DPWeDNHe3o7dbmfbtm1UVVVpPm+ZmZmkp6frMg2rxzXpUQgGXn/0RqRrF/s7ttVpPs3NzWzcuJHvvvuOH374gf322w+73R7RruFbb72V2267Leix2bNns2HDBsBf77h69WpeeeUVXC4XP/vZz3jiiSe0yH2oCCE4ShjMG9BoNEY1IqgoCps2bdKiYPn5+YMKDD3M+FXXESkR1t7ezrp16zQRHGoHZbxTw2PJR1Bv6Cm6FMtoV6ABMAT7vNXX19PV1YXZbMZms9HS0kJ6erou0ox6TA3rVZyCfoVgNI+l/qb52Gw2mpubefnll6msrCQ5ORmv18vBBx/MQQcdRG5u7oi2OX/+fD766CPt34FNWr/73e947733WLt2LWlpaVx22WUcf/zxfPnll2FtQwhBnROKN6AqNqJxsne73axfv56Ojg6WLVumndwHw2g04vV6I7qO4RAJIRhYDzl9+nSmT58e1j6Od8QslO2P5JjR24VTLwhxvJtAnzfwn1PKysrwer1UVVXhcrlIS0vTIoYpKSlxERl6FV16+47FY1BBqMTa39BoNLJ8+XKWL18OwPnnn68d7w899BBnnXUWM2fO5OCDD2b16tUUFBSEvQ2TydSvJ29bWxvPPPMML730EgcffDAAzz77LHPnzuWbb75hxYoVoW8j7FUJYkaoY+LUA9/n80XUv89ut1NSUkJ6ejqrVq0K2dhUT6nhkazD6/VSXl5OS0vLgPWQ0V7DSBlr9jGC/tFT/VtCQgJWqxWbzUZ+fn5Q12ZjYyOKogTNkY2FL1u0bqRHih5Tw3pck0q8bW16enrYd999ufbaawF/U+Fnn33Gf/7zn2EfWxs3biQ3Nxer1crKlSu56667mDJlCj/++CMej4dDDz1Ue+6cOXOYMmUKX3/9tRCCewJqFDCUuy/1wI+UEFQUhdraWurr6/v1xhsKvQjBkaRlOzs7WbduHQkJCRQVFWnWOMNdQ7wuMmPJUFpPa9Ejeto/6vehv67Nzs5O7HY7LS0t1NbWYjKZghpPhvtdHGo9oL90px5Flx7XBP7PMN4TT7q7u4NqBDMyMjj22GM59thjh/V6y5cv5x//+AezZ89m27Zt3Hbbbey3336UlZWxfft2EhIS+mTpsrOz2b59e1jbEUJQZ6jegGpqNZQQvPqljIT4cjqdlJaW4nQ6Wb58OampqWG/hp6E4HDWoU5JmTp1KjNmzBjRSS/eF99QhGBHRwd1dXWkpKSQmZkZ9qxMPUUE9bQWPaG3/TLQjVFgcf7UqVORZZm2tjYcDgdbt25lw4YN2Gy2oIhhJEawDddHM9roUXTFO+o2EOq5Pp5CMNJdw0cccYT2/4sWLWL58uVMnTqV1157LaIjIIUQ1BGqN6B6QIc6JUTtHB5pg8bOnTtZv349WVlZQWPSwmW0CkGfz0dlZSU7duzQpqREYg0Qv9mcQwnBpqYmysvLmTBhArt27aK2thaz2awNdR9qtJjeLpx6Qm/7Rk/rCTVCHmjVMX36dLxeb5BNTVlZmTYuLDMzc9jjwgLPuXpCr3WLemju6Y0eupmjbR+Tnp7OrFmzqKmp4bDDDsPtdtPa2hoUFdyxY0e/NYWDIYSgDlBD2qGmgvtjJOJLlmU2btzI5s2bmTdvHnl5ecN6ncC16KFrWN2HoVx0urq6KC4uxmAwUFRUFLG7rcA1xIOBhKAsy2zYsIFt27ax1157aVNRZFnuM1pMjRSqvlmBJ9p4N8PoFb3tE73Vvw13PSaTifHjx2s3aS6XS/N4U8eF9W48CWU7ek4N6+lzA31GKSH+QlBRFLq7u0lJSYnaNjo7O6mtreXMM8+ksLAQs9nMxx9/zAknnABAVVUVmzdvZuXKlWG9rhCCcSbUhpChGG5EsLu7m5KSEnw+HytXrozI3UysfA2HItRo3Pbt2ykrKyMvL4/Zs2dH3IcK9CUEnU4n69atQ1EUVq5cic1mw+12A31HiwVeaCsqKvB6vaSnp2sRQ3W/6k1oCILZU4WpxWJh4sSJTJw4URsXZrfbcTgcbN68GUA7XjMyMgYse9BjalgNEOhNdOk5NWw0GuP6GXZ2dkbUR/Dqq6/mF7/4BVOnTqWpqYlbbrkFo9HIaaedRlpaGueddx5XXXUVmZmZpKamcvnll7Ny5cqwGkVACMG40ntM3EgO4OFEBHfs2MH69evJyclhzpw5EQv36yk1DAMLQVmWqaqqYuvWrSxYsCDscHq4a4gHvYVgS0sLJSUljB8/nnnz5mE0GgcVCb0vtF1dXdqFtq6uTtuv27dvJzMzc0CT8Vigp4u4HtHT/onGjUNg48mkSZNQFIWOjg7sdjs7d+6kpqYGk8mkicLA41WNvOltH4E+o5R6WxPoQ6BGOjW8ZcsWTjvtNFpaWhg/fjz77rsv33zzjRYRf/DBBzEYDJxwwglBhtLhIoRgHOhvTNxIT0DhRAR9Ph9VVVU0NTVFRQDpUQj2pqenh+LiYhRFoaioKGqDwvUSEVQUhfr6empra5kzZw6TJ08e1mup45dUl/2dO3dSXl7Oli1bqKysJCkpSYsWxsMoWG+RL72gt/0SiwiyJEmkpqaSmpqqmf8GNp5UVlaSmJioNUjpDb0aN+tZCMazdlG9UY6kEHzllVcG/b3VauXxxx/n8ccfH9F2hBCMMZFKBfcm1Lq83rVw0TgB6kUIDiTCmpubWb9+PRMnToxoJHSwNcQzIijLMsXFxbS1tbFs2TKtHnCkqIX8AEuWLEGWZex2O3a7XTMKVoe1h1OvJYgOetr38SglMBqN2k0K+EdGqvWwmzdvRlEUfvjhB+14TU1NjbuwAH0KQT02i8R7XT09PSiKImYNCwYnHG/AcAmlLk/tEJ08eTKzZs2K2glGT0Iw0NBZlmVqampoaGhg/vz5Ix79E8464hWR6erqAvzm2OGMxguVwGPYbDaTnZ1NdnZ2UL2W2niiCkf1YhwNPzg9oTfhpSf0UFNqNpu1xpOOjg7WrVtHXl4eDoeD8vJyvF4vaWlpWio51jcyeu1k1kMKtj/ivS71XCuEoKBfAr0BBxoTN1IGSw17vV4qKytpbm5mr732YsKECRHddm/0IgRh91qcTiclJSV4PJ6INcWEs4Z4XIi3bdtGWVkZAIWFhVE9SfZ+f73rtWRZpr29HbvdzrZt26iqqsJms2kX2YyMjIhOxYk3ehNeoC9BoQchGIh6Xs7JySEnJ0frAFUbpRoaGgC0YzUzMxObzRbV9yBSw+ER79RwZ2cnRqNxVN7g7jlnXp0iyzJerzfiqeDeDCS+Ojo6KC4uJiEhgVWrVsXkINWbEHQ4HGzcuJGsrCwKCwtjLjhiHREMbIKZO3euJgYHY7hrDPVYNhgMpKena35Xqh+c3W6npqYGp9NJamqqFi0czrxZPQkLvaFH4aWn9fS2aZEkiaSkJJKSkrQbmY6ODhwOB83NzWzcuJGEhISgG5lIN0rpVXDpeV16mCqix30zFEIIRolAb8DAcUrRondEUFEUGhsbqaqqIj8/n4KCgpgdoGq9YrxP9upnUFlZydy5c//XSShRVSXxww8S69dLOJ3+9anLlCRF+/fux0L/r/qTn6+wcKHC/PlKTOcNq5FPNRUcqxNjuCKytx9coO1HY2MjMLzoix4jcYK+xPvc0JuhjJsNBgNpaWmkpaUFNZ7Y7XYaGxupqKggKSlJO17T09NHfMOpZ8Glx+h9vFPDkbaOiSX6+zT3AHo3hMTCliCwWcTj8VBeXo7D4WDJkiWaJ1ys0IO3nNvtpqSklG3bLDidC/nvf7OorPSvZeZMhSVLFM45RyYxUUHVDoH/7f2YiqJIfZ7b+298Pqirk/j4YwOPPCLR0LCU7OwUFi82snChwoIFMtOmQaTPWXa7neLiYrKyspg/fz5Go1HzB4zWRSVSn6/NZiMvL0+bN6vafqjRF4vFEjTtJBJjxaKN3oSOWM/AhGvc3F/jiTrxZOPGjTidziAj9rS0tLC/f3qcKgL6FajxTg13dXUJISjwE0lvwHBQm0Xa2tooLi4mKSmJoqKiuPi6Bdq2xPKEsW0b/PSTgS++cPHNN93APMaN6+Tggy2ccYbM7NkKI7+RDS3iNH++wi9+4f////73J2bO3JumpgzWr5d4/HEj9fUSsgyTJsHChfL/BKLCcBp6FUWhoaGBjRs3Mnv2bCZPnqwdd7Gw6FDXEMnX7G37oXZ3qmPFUlNTg8aKxfK7NhrRW6RUb0JwpKLLbDYzYcIErf7a6XRqEe6mpqYgI/aMjAySk5OHfP8+n09X+0gl3pG3gYh3algVgnr8zIZCCMEIEQ1vwHCQJInW1lY2b97MjBkzmDZtWtwOyFiYKNvt8OOPEj/9ZKCkRKK7G7KzFaZO3cWkSdU89dREZs6cwhdf/MicOXMYPz5+PmGSJGG1+li6VGHp0t0XZEWBrVth/XoDX35p4MknJTo6wGKBOXP8qeWFCxVmzFAY6Pzm9XopKyujtbWVpUuXBs2cVLft31Z0hUA0X7+/aSdqN3J5eTk+n4/09HQtBa8HkaE34QUiQjkYkV6P1WolNzeX3NxczV9OrYmtr68PmqGckZHRb+mDiAiGR7wFqogIjnGi5Q0YKm63m+bmZlwuF0uXLtW83eJFpIVgd7df9P34o4GffpJob4f0dCgsVNh3X5nLLlNISPCwfv162tvb2XvvvTVBFK+O3UAGWoMk+SOCkybJHHHE7sedTtiwwV/D+MwzBmpqJHw+mDoVjj3WxwEH+CObnZ2drFu3DovFwsqVK/uN/kZbCMbjYm6xWIK6O9VpJ1u3bqWnp4evvvoqyKYm0pY5o5E9XXiNlGjO9A00Yp88ebLWeGK329mxYwfV1dVYLBbtmM3IyCAhIUG3gkuv6/L5fHGdbBRpM+lYIoTgCJFlGbfbHZcoIPjrwkpKSjCbzYwbNy7uIhD6+vcNl6YmeOIJIyUlBvbfX6awUObssxV6v8W2tjZ++KGY5OTkPl55euhgDrcj12qFvfdW2Hvv4OhhXR288YaRhx4ykJXVxbx5GznyyAnMnTtzwBPznhARHIzAiyxAa2srkyZN0kyCKyoqSE5O1kRhWlqaLs1wo028b4Z6ozchGMvoW2DjybRp07TSB4fDQUNDA+Xl5SQnJ2OxWDTXCT01Z8Q7BTsQ8V6XaBYZg6ipYLUrONYiUFEUamtrqa+vZ9asWSiKQktLS8y2PxShTjrpj/JyiUceMdLZCZdc4uOOO3z0t2sDO6OnT5/O9OnT+3wGehGCI12DJEFBAaxe7eEXv6jmu+/s1NYu5rrrUpk6VeH443dHCntvG6IfEdSL0JAkKaiI3+12a7ValZWVeDwezSQ4MzMzpFqtkaxFT+hpPXoTgtGMCA5F79IHt9utjcFzuVx8/vnnQTWxqampcY3IxTsFOxDxXpeICI4xYuUNOBBOp5PS0lKcTifLly8nNTWVLVu2xF3wBBLKpJNAFAU+/VTiySeNZGXB6tU+Zs0aWFx4vV7Ky8ux2+0UFhZqF/7exHOqh0qk0tMul4vi4mI8Hg8nnLCYpCQb4KG2dnekcMqUYFEYC6Gmpwt6bxISEpg4cSITJ07UTILV+sJNmzZhMBg0UZiZmRnX1FI0ifd3oDd6E4J6qsdLSEggOztbaxaZM2eOVl+4detWZFkOGt0Y6wYFPaeG9eAjOBoRQjAMVF+61tZW1q1bx7777hvzk9nOnTtZv349WVlZLFmyREsZjCQCFw1CjcR5vfDGGwaef97I0qUyDz/sJTt78L9RTbItFsuQndF6iQiO9ELscDgoLi4mMzOzjyl2QQFcc42Pa67xUVsL//znblF4wgk+ZDn6dZJ6EBpDfRcDTYLVWq22tjYt+lJZWUliYqImCiPhBacn9Ca89LSeeEYEB0IVpzabDZvNFtR4oka5AxtP1PpCm80W1XXpVQjGe12dnZ0xt2qLFHvOWS7KBI6JA7/6j/Vd2MaNG9m8eTNz584lLy8vaPvhRuCizVACrKMD/vEPI++9Z+C443y8+qqHUG6mtm7dSkVFBfn5+cyYMWPIz0AvQnC4a1AUhc2bN1NdXc2sWbOYMmXKoO+5oACuvdbHtdfuFoVvvrmct9+2ccopEvvvP7CFznAvznq7gIZKYOfm9OnTNS84u91OdXU1LpcrKI0czqxZPQjjQPS4Hj0dN3pbD/QvTgNrYqdMmdLv6Ear1RpkbB3pZql41+INRLwjgl1dXUydOjVu2x8JQgiGQKA3oCRJmM1mLToYizuQnp4ebVrEQHNyR0tEcNs2ePxxfwPIuef6eO89z4DWKIH4fD4qKyvZsWMHe++9tzaRYihiOdVjIIabGg5Mf++zzz5hNwKponDx4u/Izl7Fv/6VwoMPGrSawsFEYbjoRWiMZB29veACZ81u3rwZIKgbOdqRl0ijJ6GjN+Glp9SwSijXl/5GN6qNJ5s2baKzs1NrlsrIyCA9PX3EYinekbeBiLdAFanhPZSBvAHVgy0Wxak7duxg/fr15OTkMGfOnAEPdL1HBCsrJR5+2Eh7++ANIP3R1dVFcXExRqORoqKisC7AwxFhsuwXrJs2SWzZImGxQGqq3+w5PV0hNRXS0iDUG+3hpIa7urpYt24dZrN5xMbgkiQxbZqvT6Tw/vsN7LOPzCWXePt0Yof7+nsiiYmJJCYmkpeXF2T5sX37dqqrq7FarUFpZD1PO9Gj8NLTevSYGh6O4DKZTGRlZZGVlQXsbjyx2+1UVVVpUW71hmY4M73j3ZQxEHqICAohuIcxmDdgoBCM1snf5/NRVVVFU1MT8+fPJycnZ9Dn9541HG8MBgNer49PP5X4y1+MZGbClVf6mDMnPEG0fft2ysrKmDRpErNmzQr7BNRfZFJRwOHwC73An61b/SJQkmDiRP+84EmTFNraoLHRQFsb//vxexl6PPR5XauV/wnF3YLRbp9Abm4iBQUSEyfCrFkDG0TDbvE/3Pfcm95CVI0UXnON//O57DIz2dkGLr3URUHB8Lahl4hgtOht+aFGXux2O7W1tfT09GgjxTIzM3UndPT4+eht/+hpPRCZyJvaeJKdnY2iKPT09Gij8NQGw0Bj66EaT2KZCQuXeAtU0TW8hzHUmDhJkqKaiu3q6qKkpASAoqIiEhOHnoqhp9Sw1wv//W82H32UzapVBh56yMvEieG9hizLbNiwgaamJhYuXEj2UB0kvejuhoYGiS+/TGf79kS6u41s3izhcvl/n5HhF3r5+Qr77CNz4okKeXmElKYeDKfTLxbb2yVNOJaUKLS1Saxfb+D//T+oqpIwGGDRIoUVKxSWLZPJyAiuA124cCETw91pAzBQRFKS4MADFQ44wMNPP/m4+24Lsixx+eVu9t479OiyHjqz1XXEit6RF3WkmNrZ6fP5MJlMbNmyhYyMDBITE+MuNOK9fRVFUXQnvPQobiKdrpYkKSjKrSgKnZ2d2O12WlpaqK2txWQyaaIwMzMTq9XaZ02ALmsE450aFkJwDyEcb8BoReCampooLy9n8uTJYUWD9JIa/vJLidtvN7F4cQKPPtrE3LmTw36N7u5uSkpKUBQlZCHc3Q3vv2/gzTcNdHdDYiJMnapgsViYPNnJfvvJTJmi0Ou8FnGsVv9PdvZuYTRunIO0NJlp03Zb3LjdUFoq8e23Bl56yYTdLmM2O5g928Txx+/LhAmRqz8LRagtXCjz1FM9NDYaeeyxBO6+W+LCCz0cdNDQKXw9XdDjRe+RYjU1Ndjtdnbu3ElNTQ1ms1mLFqqTI2KJHoS6iroWPR03ehOmEP10tSRJpKSkkJKSwtSpU4O66JuamrTGE/WYzcjI0NajR9EcTyGoWlMJITjKCXdMXKSFoNfrpbKykubmZvbaay+tYD1U1Fq4eN3ZKgo8/LCRdeskXn/dQ01NMzZb+IVnzc3NrF+/nokTJw5aEwn+1Ox//mNg7VoDDgcceaTMo496CbQU3LDBjqIog3oSKoo/ktfd7f/p6fHPLu7qCv537//3//j/nZGhMG0aTJ+uMG2awtSpCmopY38NKwkJsM8+Cvvs4+OMM1opLi7G6x1PW9s83njDxJ13ShiNsHBhcNRwuIQqBKZOVbjvPhctLRJPPWXmkUcSOPNMD8ce6x20sUQvQkMP65AkCYvFQmJiIgsXLtQmR9jtdm1yhJpGVgv4Y/Gd1YvQ0asQ1Ju4kWU5pnWnvbvoA8sf6uvrKSsr02rgWltbycjI0E1kMPC6HS9ERHCUo0YBwxkTF0khqPriJSQksGrVqj7h+FBQv5DxEIJtbXDZZSaWL1f4xz+8SFL4ti2BadH58+eTm5s7wPPgm28kXn3VSF2dxCGHyNx6q5dJk/p/XYPBgOd/xXzbt8OXXxr44gsDtbUSZrOCovhTpFYr2GyQlASJiX4Rl5i4+/+TkmDCBLDZ5P89Hvx7hwPq6vy1hp99ZmDTJgmn0y8yjcbpTJsmU1ho0ISiv+l592SUGTNmkJ+fjyRJnHCC/7jqHTVsbYXsbFi+XGbFCoW5cxVC+aiHigiqIwEDGTdO4YYb3HR1wfPPmznuOBvHHuvlV7/y0LtXR08XdD3Se3KEy+XSCvgrKirwer2kp6drEcNoGATrQSCr6FEIxjut2B/xTlf3Ln9wuVzs2LGDmpoaqqqq8Hg8pKamajc0w2k8iRTqtUakhofHmBaCvb0Bw5kQEgkhqCgKW7ZsYcOGDeTn51NQUDDsL1JgA0ssTXDXr5e4+moTt97qZeXK3RebcISg0+mkpKQEj8czoD1OWZnEK68Y+OknAytWyFxyiY/ZsweP8jU0wDvvZPDddxZ6esxkZyusWiVz2WVepk8n5K7lUMjMhIICBQhek6LAl19uYceOFLzeDP7zHwP19RI7d0J7eweKksLChQcyb56FadMUpk/3v44kBUcNL73U/3rbtsG33xp48UUDZWUG8vMVTj/dx4oVyoDvZyQ1fElJcPHFHs4/38Mbb5g49VQbq1b5OP98d1DkVU9CQy8MdC6xWCxB004CDYLr6uowmUzaxTUS0070Jrz0th7Qb0RQT2uyWCyMGzeO+vp6ioqK6Onp0Y5b1V5JvaGJdV2sau0Wr2NKlmWRGh6NqA0hqlgJ9yAaqRD0eDyUl5fjcDhYsmTJiB3J1bXHsmHkhRcMvP22gRde8NA7kx2qENy1axelpaVkZWX1mZhRXw+vvWbks88MzJ8vc/LJ8iBzh/1NGJ9/LvHllwbsdon8fIUZM+D887dy2GGpI327w0KSICNDZvz4LmbP9u+P7u5u1q1bh9FoZM6cvWluTqCuDmprJf71L4mNGw3k5iocfrjMIYfI/M8iDICcHDjuOJnjjgPwUVUl8dJLBm6/3cCqVTKnnebr0/kbiZOj2QynnOLl5JO9fPihkd/8xkZBgcyll7p1c0HXyzrCoT+D4La2Nux2O1u2bKGyspKkpKQgm5rhRj30tn/0tB492sfoWZwGNp5MmjQJRVHo6OjA4XBodbGRvqEZjIEaO2NFd3c3iqIIIThaUOvowk0F98ZoNGqRxHBpa2ujuLiYxMTEEXvEqaj+hrFoGHE64eqrTWRlKbz6qrffTtuhupgVRaG2tpb6+vqgSSnNzfDPfxr4178M5OTAKaf4uPpqX59t+Hz+tOkXXxj4+muJri6YM0dh1SqFP//Zy/+yGdTXd9LW5orguw+fQC/D5uZmSktLycvLY/bs2f8zhO1dw+ijsRH+/W8Dl15qorsbVq5U+NnPZBYtCo78zZ6tcNttPmTZx5dfSvz5zya2bYOjjpI54QSZzMzImmpLEhx+uI/DD+/h++8N3Hyzhfb2hVx7rYHlyyOyiTFNYJ1WQUGBNu2kpaVF84ELnDMbyrQTvUVr9RoR1NN6QJ/idKAopSRJpKamkpqaytSpU/H5fAOOb1TrYiNZ/xjv1H5XVxeAEIKjgXAbQgZjOBFBRVFoaGhg48aNFBQUMG3atIh+0WNhIVNfD5deauaKK3z8/OcDiwu/j2D/QtnlclFaWkpPTw/Lly/HYkllzRoD//d/BqxWOPFEmdde89JbH2/dCi+9ZOT77yW8XliwQGG//WTOPtvv2TfQOuLdTa0KsY0bN7Jp0yYWLFgwpC/k5Mlw3nky550n43bD119LvPqqgRtvNJCX1zdaaDDAfvsp7Lefl54eeO89v4g0GmHBgglMmxb597V0qcyzzzp59dU6/va3xTz3nIWbb3aRkxM/4aEX0ROpdQROO1F94FSbmoaGhqA5s/3ZfQSiF1GhVyGo1+ibngjVq89oNGrHJPgzYOrEk0DfTfWmJy0tbURCTg8egmazOapRz2gyZoTgUN6A4RJu9M3tdrN+/Xo6OjqGNS4sGmsKl/feM/DEE0aeeMJDfv7Qa3G73X0edzgcFBcXk5GRweLFi/niCzN3323i1FN9/O1v3n4FXX09PPCAiZYWOP98H5dfHroNjB5GzMmyTHNzMwaDgRUrVpCSkhLW3yckwAEHKBxwgI/e0cKurt3Rwr328kcLbTa/mD7xRJmdO+Gee6ycf/44Zs40ccYZPpYv71tPOJLvw5QpPdx7r53GxnFccYWVZct8XHaZu09TiWBk9E7HqdNOWlpatDmzNpstyO7DZDLpTngFluPohdEUfYsk7e3w5ZdGvv7aSFeX36nAYNj9YzT6G9L8DYDgcqXS1lbAF18kBDzX/5xVq3wsXtz/udZsNjN+/HhtNKjL5dLqC9WGKXWut9p4Es7noYepInrwCh0ue7wQHGhM3EgJJzVst9spLS0lNTWVoqKiqHmIRSsi6PXCbbcZaWuTeOMNT59I3UBrCRRgiqKwadMmampqmDVrFjbbFC65xExKisJrr3n6FYBVVRJ//rMRtxtWr/axaFH4UZbhzvmNFG1tbTQ1NWEymSgqKopII09/0cK1aw3cfLOBnBy/KFSjhePHw/HHb+Waa6y0tk7kpZcM3HZb33rCke4jRVFYtEjmtdd6eOcdEyedZOPXv/bwy196I9qUI9hN4LQT8FtQqd3INTU1OJ1OUlNTtTm0eoqW6u2COVYigj098O23Rj791EhJiZGUFIWiIh8nn+wlLU3B5/M7M8iyv+7a55O0f8sy7NrVSVOTg9mzJ/7vORI+n/8a8fzzZh59VOL6613MnDn4sWaxWMjJySEnJ0fz4FOP3YaGBoAgY2ubzTboMRPv1HBnZ+eoHS8He7gQjGQquDehpIYVRaGuro66ujpmzZrFlClTonoCjEZEcMcOuOQSEyecIHP66aGLzEAh6PF4KC0t/V80dCn/93+ZvPaakdtv91JY2PeEUVoqcf/9RiwWuPrqwbuDw1lHrGlsbGTDhg2kp6djsVii0s3dO1q4ZYs/WnjJJSYMBvj1r31Yrf6u4cB6wi++2F1P+ItfyJx8sr8hZDgEdiVLEhxzjJfDD/fyl78kcNJJNm680TVgpCCS6E1cxHo9JpMpKOqippFbWloA+Prrr4OK94e6uEYLPQpBPUYEIyFOPR748Ue/8PvhByMmk8KKFT6OOcbLTTe5Q5ikFHzu3bath/T0LpYs6ft9PuAAH7W1EvfcY8FqVbjuOjd5eUOfuyVJIikpiaSkJC3SrU482blzJxs3biQhIUE7bjMyMvqkYPWQGh6t9YGwBwvB4XgDhoPRaNT86frD6XRSWlqK0+lk+fLlpA5UxBbhNUUyIqhOCXngAS/z54cnxlQBpjbGJCcnM27cvvz611YOPljh7bc9fQyKv/tO4qGHjIwbB7fe6o1IXVs8hKDP56OiooKdO3eyZMkSWltb6ezsjMm2J02CX/9a5te/lmlqgr//3cj77+/FL34hc8kl/tnHBgPsv7/C/vv76wnfeMPASSdZOewwD7/+tZdwb2z7+25ZrfC737k5/XSJP/0pgb/9DW66yR31+kE9Rb3ijc1mIy8vjwkTJvD555+zaNEi2traaG5uZuPGjVgslqBpJ7E0L9aj6NLbmoYjTn0+WL/ewGefGfnmGyNer0RhoY8DDvDxu9+5GWkyaqgoZUGBwtNPOyktNXDddRamTlW46ioX4ZhiGAwGrfEkPz9fazyx2+00NjZSUVFBUlKSJgzT09N1kRqOhv9nrNjjhGCgN+BQY+JGwmCiS7VEGTduHEuWLImZr1+kUsPqlJCffpJYu7b/tO1QSJJEd3c33333HZMmzeTVVwuoqZF45BEvk3tNnfv8c4lHHjEydarCvfcObA49HCKRGpZlv2F0S4vErl1gt/v/azDAxIkK2dn+kXLjx4PL1U1xcTGSJFFUVITVaqW9vT0uwiA3F266ycdBB5VRWTmLc881kZcHF13kY8EC/3psNjjjDJkTT/Tw1lsSp59uY//9fVxwgTusz32g95edrfDIIy6Kiw1cfrmVFSt8XHqpqB+MB6mpqWRkZGgX195TI9TfZ2ZmkpaWFrUIix5F12hNDfttswx8+qmRL7/01/ktWuRj//19nH++hxCmc0Z8TQCLFsm8+KKTL780cuGFNpYt83/vhxM066/xxOFw4HA42LhxI06nE4vFgsFgwOFwRPXYHQhVCI5W9ighKMsyXq83Kqng3vQnBAOnYwRaosSKSKSGA6eEPPfc8Oq7vF4vW7Zsobu7m56eVfzudxlceqmPW2/dvb8UBT76SOLxx40sWKDw+OPePl6EkaC/ZhGXCzZvDhZ1LS0SLS3+/9rt/jtrVdsYjZCe7p+2MW7c7v/Ksn+ayFdfSezYIbF1q5vWVjdW65L/RUD9QighIQObzUBHh8TEif7HUlIia2g9GGYzHHFEF+efn05FhcTTTxtpaIDTT5c59liZhAS/qD32WC/HHSfzr38ZOftsG0uX+vjNb4KNo/sjlGN8771l1q7t4f/+z18/eN55Ho47TtQPxoL+RHp/007UbuTy8nJ8Pl/QtJNIFsLrUQjqMTU8kOjyTy8y8dlnRlpaJGbPljngAC+nnurhf+WiUV1TOJG3Vat8FBX18K9/GTnjDBtHHOHl3HNDqzMfiMBOevBn36qrq+ns7KS8vFyb1KPe1CQnJ0f9sxVCUAcEegOqJ5lof/C9hWBPTw8lJSV4vd4Bp2NEm5FGBMvKJFav7jslJBw6OjpYt24dbW1Wnn56KXPnprF2rQe1UVaW4d13DTz9tJEVK2T+/nfvkEJjJPj3iUx1tcSHHxr47DO/9cyMGQpZWZCZ6f9vQYGs/Tszk0Hn6vYm0BPRPx4vHVn2YrfDjh0SpaUe6uvhhx8M7NgB27ZJdHT4/zYhAZYt89vg7L23Muw6vcEIrOGbN0/hoYe8dHTASy8ZOO44M8uXy5xzjpfsbL84PeIIHz//eQ//+Y//bn7BAh+XXuph/PjBJrmEUgvkF5s/+5mXxx/31w/edJOLvfeOb1f3WGGwc2Lv4n112klLSwu1tbWYzeYgm5qRNLzpUQjqPSLodsNbb5l49VUzeXkyBx3k4+67XWRlxTbTMJxaPPWccvjhPbz+uolf/tLG2rU9YZegDITVaiUxMRGLxcKsWbPo6urSIoabNm0K8ubMyMiISm1sZ2enqBGMJ70bQmI1ZiZQCO7YsYOysjKys7OZO3du3GoVRhIR/PpribvvNvY7JSRUtmzZQnl5JT/9tIRPPsngtNPWc+65fpXn8/mNop991sihh8q8/PJucRgNWlvhk08MvPtuOhs2LGbFCgOHHqpwzjm+iJ2AYLctUFdXV5A1jMEAWVmQlaWQktLDzJk72WefqX3+vrvbPzv5/fcN3HmnhMnkHyu3774y++yjjOjOWaW/EXMpKXDRRTIXXijz+ecSN9+cgM9n5txzvey3n396yyGH+DjkkB6++MLI5ZdbyM9X+O1v+9b5hft9s1ph9Wo327f76wcVBW6+2U129sguanoTF3pZT7j2Mb2nnQTWaG3evJmKigqSk5M1URiuB5xehaAe17Rtm4kHH0zgxx+NHHusl+ee6xlWejVSjKST2Wj0TyeyWODZZ81cdtnANfbDWZfRaAw6didPnqxZLNntdnbs2EF1dTUWiyWoIzkSLh6jebwcjHIhGGlvwHBQ7WMqKipoampi/vz5Q5oER5vhRgQbGuD22028+urw6gHV5ojvv+9h7dpDOeYYIy++uJMNG9oAaGqC3/zGzOGHy/zzn5GvW/GvAX74wR/1++EHieRkOPBAmSuv7GLXrh856KCDIr7N9vZ21q1bR3JyMitXrhyw2H6wOsXERDj4YIWDD/Z/bk4nfP+9xGefGXjwQb91w+LF/ojh8uXKsGrrBps1LEn+xpGiIg+NjT6ef97C/fcncOSRXk47zX887Luvj3339fHttwauucbChAkKV17pZsqU3a85nBrIiRMVHn3Uxbp1Bi691MrKlX7/wZGIXz00aYB+1hEJetdoud1uzeqjsrISj8ejecCFkorTaxpWL2tSFPjvf43ce+9iJk5M4YILfNx8s1sXZRSRsLQ55hgvxx3nLw+JVK2wz+frtxY/0GJp2rRpWm2sOh9ZbTwJnHgynJp+1UdwtDIqhWC0vAHDwePx0N3djdFopKioSBcHwXC6hjs7/SLtiSeGJwI7Ozv55ptSXn65AJdrIn/7m0JenozD4e/W/fJLiTvuMPHww94R2cD0R2MjfPihgU8+MdDeDoWFCocdJvP73ytaare9HZqbI596VOfATp8+nenTpw96/IVjam21qhNC/J+jxwM//STx+ecGnnhCwu2GRYv8wnDFCiXkqGoowiQnR+H66914PPDuuybOOcdGYaGPyy/3N44sXy6zfLmTkhIDt9xiITnZLwgHE5qhsHixv37wjTf89YO33OKisFCkiyNFpA2lExISyM7OJjs7W/OAU+sL1VScKgoHmjGrF9GloofUcFsbvPSSmQ8+MFFU5OW889Zz9NGFg06LiTWyLI84gmYwwBlneHjhBTMXXhiZqGCoXcO9a2PdbrfWNKU2ngQ2TaWmpoZ0XHR1dWm2TaORUScEo+kNGCpNTU1UVFQgSRIrVqyI+wlEZShLm97IMvzmNyZuuGF4Vi3btm3jrbcaeemlpVx3nZmjj94tBiTJwNtvT2LXLmNQjeBIaWqCxx4zsn69f9TaYYfJPPzwwHWGkbaPkWWZiooKduzYweLFi8lShxoPwkiEktkMy5crLF/uP969Xr/P4uefG/j73yV6evxzhU86afe4ud6E2zltNsMvf+nluOO8fPihkTPPtHHYYV7OP9+D1Qp77eUfLVdZaeCeeyzY7XNZvdpFdvaw3iLgj0yecIKXAw/0ccMNFrKzZW64wR3yBBnBwEQzOhnoAaem4trb27Hb7dqM2d5WH3pMw8YzIlhebuBvfzPT1GTg9NM9/POfPRgMPj791KWba4tKpEyuTzjByy9/aeOcczwjtrRR1zWckqyEhISgxpOenh4t2r1161ZkWQ5qPBnIIqazs5Pp06eP+H3Ei1ElBGVZxu12xy0K6PV6qayspLm5mVmzZlFdXa2rL2q4qeFbbjFyyCEy++0X3oVClmU2bNjAJ5908/bb+/DOO4YgEdLdDVdemYrV2sLzz0emM3TnTrj/fiN1dRJXXeXjT3/yhfS6kRSCPT09FBcXoygKRUVF2ELMa0RyuonJBEuWKCxZ4uO3v/Wnkt95x8CFF5pITIQzzvBx8MFKH6PYobbf33dJkuDww30ceujuaN0pp3g49VQvJhPMnSvz9NNO3nqrgUcemcd771m49lrXsCLLKuPGKTz1lJP33zdqzSTLl4vo4EiJ1bnSYDCQnp5Oeno606dP16w+7HY71dXVuFwuEhMT8Xg8tLe3hz1KLFrEOiLodsM775h45RUzU6bIXHSRhzlzdh/nHo////V0fYHIGTebTHDyyR5eftnM2WePPCoYqXXZbDZsNhu5ublBTVMOh4P6+vqg2d5JSUnaVJ+enp6oZQXvvvturr/+en7729/y0EMPAf5O6dWrV/PKK6/gcrn42c9+xhNPPEH2MO/GR5UQhN1f2FifPDo6OigpKcFsNlNUVISiKFRWVurq7jacZpGXXzbgdsO554Z3ke3u9vvklZWl8v77y1i7Vg6yLKirg0svNXPppZ2YzRuRpJHdJTkc8NBDRkpLJVav9rHvvuEJKjUaN9LPadeuXZSUlDBx4kTmzp0b1klnpKnTwbBa4aST/BHBLVvgpZeMPPCAgaVLZc46S2bGjJEfnwYDnHiil2OP9fL882Z++UsbF17o4eij/SJ/yhQnDzywjcrKSZxxho3TTvOLxZGcl4880m87cfPNFt56C26+2TVkbalevod6I57nqN5WH93d3TQ2NrJ9+3aKi4sBgrqRQ725ijSx2kdNTRJ//7uZ7783cvTRXv7+955+syXqeVxvQjCSY+9OOcXLCSfYOOOMvsMFwiUahtK9m6bUaLfD4WDbtm3cfffdlJaWsmLFCrq6uiK6bZXvv/+ep556ikWLFgU9/rvf/Y733nuPtWvXkpaWxmWXXcbxxx/Pl19+Oazt6OsoGwKDwRBzEagoCo2NjXzzzTdkZ2ezdOlSbDabVlAar/Fl/RFqRPC77yTeesvAnXeGV0/Y3NzMV199RV1dHu+/vzevvBIsAv/9b4nLLjPzl794OPRQRRNgw6GjA+66y8hZZ5nZf3+ZN97whi0CYfeJdLjrUK1h1q1bx+zZs5k/f37YJ8JYTTeZNAmuvdbH++97OOIImQceMHLccSbeeWc87e0jf32zGc47z8Mrr/SwcaOB44+38dlnu0++Bx/s4403erDbJU480UZx8chOL+np8OijLg4+2MvJJ9v44ouhT/R6atLQizDV0z5JTEzUfAn33Xdf9tprL5KTk9m+fTvffPMNX3/9NVVVVezcuTOsMpeREs3UsKLAZ58ZOfdcKzffbOHAA3289VYPF1wwcMmMer7QyzGkEkkhmJDgt5Nau3bk8ahYzBpWo93Tpk2jsLCQp59+mj/+8Y8kJiZSWVnJNddcw+LFi7nmmmv417/+NWJx2NnZyRlnnMFf//pXMjIytMfb2tp45plneOCBBzj44IMpLCzk2Wef5auvvuKbb74Z1rZGXUQwlni9XsrKyrDb7SxZskQrMAW0gy7eo20CCSUi2NgIf/iDv0M41GXLskx1dTWNjY10dOzDm2+OZ82a3aPIZBnuvddIfb3EP//p7wRzuw3a34azf7q74amnjHz4oYHLLvPx+997RpRaVk9awzmBqTOSOzs7RzQmMJoRwf63BytXKqxc6aW7Gx59FH7/+zzy8kz86lc+9t9fCYrWOZ1OiouLcblcjBs3TqvlGqh7LikJrrrKzbnnwsMPJ/Ddd/O58spOcnL8YvGyyzycdJKX229PwGz2W8OMGzf893/YYT6WL+/hllssvPmmidtuc8XVQiMU9CS+QF+CQo2+9e7o9Hq9WuF+bW0tPT09pKSkaNHCUAv3h7OeaKSG29vhlVfMvPeeieXLfdx5pyvkEYvxynwNRaQF169+5eGkk2ycfLI35OtRf8Rj1nBGRgYnnXQSJ510EitWrOCee+7BYrHw0Ucf8Zvf/IampiZWrlzJ+++/Pyyz6UsvvZSjjjqKQw89lD/+8Y/a4z/++CMej4dDDz1Ue2zOnDlMmTKFr7/+mhUrVoS9rVEnBGN1UVVn5CYmJrJq1ao+nW/qQRfJ2b4jZaiu4a4uuOgiM48/HroDvSoSvF4vLtf+vPRSEi+84NXSdG1tcMklJg48UOa663bX7QUKsFBOHC4X/P3vBv7v/4xccIGPd9/1jCi1qKKeSMONyKnG2ElJSaxcuXJEnXKxFoKBJCbCkUfaOeGEHszmGaxZY+SeewwUFcn86lc+0tMdrFu3jnHjxpGXl0dra6vWPZeWlqYJw/4sQTIy4NZb3Xz4YQ2vvz6bV16xcv31LmbOVMjOVnj8cRfffmvg17+2ctRRXn796+GngFJT4cEHXfz3v0ZOPdXG6tVuDjpIP989PaM3UTpQGtZkMpGVlaU1YDmdTq0bWS3cV9PIGRkZEZt2Eumu6spKA08/bWbLFgOnnebh9dd7wjaK15OdTSCRFlxWK/z8517eftvE8cd7R7SueAVk1FrCSZMmccghh3DqqaeiKAp1dXV89dVXwxKBr7zyCj/99BPff/99n99t376dhIQE0nt1B2ZnZ7N9+/ZhvYdRJwSjjaIoNDQ0sHHjRgoKCpg2bdoAhfTSsOxaoslgKUi1Q/i667wUFIT2empd3IQJE2hsXMALL5h58UWv1slZWSlx5ZUmbrvNy4oVwRebQCE4GB4PvPCCgddeM3LWWX4BGMnv83BSw01NTZSXlzNt2jQKCgoiUGMXm9TwQKhCdOpUuOEGH7Ls48sv4cYbXezYIbN69XzmzcvE6/Vqxca9LUECveR6m7COH+/hD3/YQU+PmXvusZCYqHDttW7y8hSWL5d5880eXnjBzAkn2Lj2WjerVg3/O3PggT722aeH22+38NZbJm6/3RX1sVp7AnoSFaHW41mtVnJzc7XC/c7OTux2Ozt37qSmpgaz2awdjxkZGcO+WVPPDSMROIoC771n4vnn/ZM/zj/fw/z5w//ORzIFG0misa5zz/Vw2mm2EQnBWKSGB6OrqyvIUFqSJAoKCigI9WIbQGNjI7/97W/58MMPY2YdJIRgAOqUiI6ODvbZZ5+gvHx/6E0IDrae2283csABMgccMLQgUhSFmpoaNm3axNy5cykpmcKLLxp4/nmvZvb7xhsGnn/ewHPPeZg4se9rDBWJ8/ng1VcNPP+8kZNP9vHOO56ojVcbbB2BqN3Q27ZtY++9946YL1Q8I4L9bV9RfKSnV3D++TsZP34JzzyTzXPPKVx+eQ/Llvmfk5iYSGJiIpMmTUKWZW2yRGNjIxUVFUEpO5UZMxT++le/z+C111qYPVvmmmvc2Gxw9tkejjnGw113WfjHP8zcequLvLzh7ZPkZLj3XhdffeWfX3rFFW4OP9ynK7GjJ0ZLRHAwJEkiJSWFlJQUpk6dGmQM3NDQQHl5uXZMqsbAoQqWkUQEFQX+/W8jTzyRwIEH+vjrX3sicmMyloRgYiIjtomKR2o4kN5CcCT8+OOPNDc3s2TJEu0xn8/HZ599xmOPPcb/+3//T/M/DIwK7tixg4n9XYxDYNQJwWhdVB0OByUlJaSmplJUVBTS3aXehOBAzSKvvmqgsxPOP39oMeRyuSgtLcXpdLJixQr+85801q418NxzXhIS/D52t9xixOWCtWu9A4o3tQaov/WUlkpcd52JY47x8fbbIxtAPhTqOoYSgk6nk3Xr1qEoCitXroyoFYCehKD6PgGKioqwWq089JCXzZt93H9/Ag8/bOCKK9xBli2BszoLCgpwu91atLC8vBy3243L5UJRFDIzM9lrr0TWrNltAaOmcTMy/AKuvNzAlVdaWbFiZJNEiop8vPZaD3/6k4W33jJz5ZWRs+mJBHoSpnpaSyQ6dPszBlaPyYqKCrxeL+np6drNykD+bzD8xoxPPzXyyCMJLF3q44UXekZkm9TfmvQqBPVSE68iyzKKosRtXT6fj56enmGlgPvjkEMOYf369UGPnXvuucyZM4frrruOyZMnYzab+fjjjznhhBMAqKqqYvPmzaxcuXJY2xx1QjDSqLn8uro6Zs2axZQpU0I+IehNCPbXLPL99xKvv27g5ZeHDrvb7XZKSkrIyMhg8eLF/N//JfDWWwaefdYv+Hbu9KeXTzxR5rTThhaVRqOxz4X5zTcNvPCCgRde8BCCF3NEGEqItbS0UFJSwvjx45k3b17ETyh6SQ07HP56wP7eZ26uwt1397Bzp4mHH07goYckrrjCw8qVfY/vhIQEJk6cyMSJE1EUhXXr1mE0Gmlubmbjxo1YrVYyMzNZujSTF17I4N57k3j1VTN33OFi/HiF+fNlXnvN7014wgk2fvtbN4cdNrzvUWIi/OlPLr77zsBll03klFNa2WefYe+qiKEnQaoniyuIznp6H5NdXV2af2FdXR0mk0mLFvaedhJuavibb4w88EACCxb4I4ADmdmPBD1MOukPPQpU9dwaLyGodgenRGhqQkpKCgsWLAh6LCkpiXHjxmmPn3feeVx11VVaE9Xll1/OypUrh9UoAmNcCKrRr56eHpYtW6aZQ4aKHoVg4Hq2boWbbvJ3CA9WpK8oCvX19dTW1jJ79mwmT57M2rVGPvjAwN//7jcPbm2FM880c++9XhYtCu0iFxgRlGX405+M2O0Sr746cCQxGgwkxALf95w5c5g8eXJUth/viCD45yI3NjZqn+9AF+KJExXuustFc7PEI48k8OCDCVxxhZt99+3/OJckCbPZTHp6OpMnTw7q/KypqcHpdHLSSWls357LuedO5uSTFc4806tNEvn5z7388Y8W/u//TPzxj8Ov91u2TOYvf2nm+utz2L49geuuc4/Ym2xPId7HXm+iLUwD/d/UaSdqaYM6GlKdLxsoCoda008/GfjznxPIz1d4/HEn48dHb7+OlWYRFUka/r4MnDIWD1QhGKnUcCg8+OCDGAwGTjjhhCBD6eEy6k6Vkfpy7Nq1i9LSUsaNG8fixYuHNWhab0IwUPB0d8OFF5p5/HHvgKPHYHddZGdnpyaGX3rJP7/3r3/1i0CvFy64wMSf/hS6CAxcT2cnXHyxiQMOkLn55tjvr/6EoNfrZf369bS1tQ3rJiAc4ikEfT4fLS0tdHd3s3Tp0gHrXnt/ryZMUPjjH13s3Cnx2GNmHn44gcsuc7P//v1PdFHfX+/Oz56eHux2OyZTM1ddVc17703jpZdyuOmmVpYtSyUpKYG77nLx5Zf+er+RdAOnpMC1126gpmYFp5xi48EHnUyZoi8RFC/0JCpiHaHsXdqgTjtpaWmhqqoKl8sFwKZNm8jMzOwz7aSszC8Ax41T+POfXeTmRv+Y0mPkTbXZiUbkTVGGfzz4fD6tBCgedHV1YbFYMEcxuvHf//436N9Wq5XHH3+cxx9/PCKvP+qE4EiRZZmamhoaGhqYO3cueXl5wz4p6U0IqqlYr1fm4osTuPpqLzNmDHzSam1tpbi4WKuLNJvNPPecga+/NvDkk7t9na6/3shJJ8kUFoZ3AjQYDDQ0SNxwg5kbbvCGPcouUkiSFCQEVWsYm80Wcj1oJLcfK9R6QI/HQ3Z29pDNT/0xfrzCbbe5aWmRePxxM488ksCll/rFmvq1Gez7Y7PZyMvLIy8vD1mWWbKknbKyJu6+ezw5OTs5++xtTJyYzrx543jppTRuu83GO+/4u4GHe4N96qleli3zccUVVs4+28Mvfzn8bsSRoBfxNdYigkMROO1EURTsdjulpaW0t7fT0NCgCcfW1ok880wOyckGbr/dFdObCj0KQT1PO4l3x3CkrIzixZgSgj09PZSUlOD1elmxYsWIc/p6E4LqF/RPfzKyapXMQQf1f+JSFIXNmzdTXV3NjBkzyM/PR5Ik/vY3A8XFBp54Yvd4sL//3UBSEpx8cvhCZv36TN54I51nnvEwdeqw39aICZz1u23bNsrKysjPz2fGjBkx+fIGWtjE6mRht9spLi5mwoQJjBs3DrfbPaLXGzdO4Q9/cGO3wxNPJPDEEwn84Q8uFi3yHxehiA3VmX/ffdN55x148808br99Cmee2cC0aeX4fD7OOiud6urJnHRSDjfe6GHffcM77tR1TJ+u/K+RJIH//tfCnXe6iFAt96gj3sKrN3pajyRJJCQkYDQaWbRoEbIsU1bWzT33WOjpcfPLX35JQYGM05nJzp3+qOJwskfhIoRg6MS7Y7izszNijSLxYswIwR07dlBWVkZ2djZz586NyB2E3oSg0Wjkiy9yaW+HW27p/wKqTktxOBxBFjl//auB8nIDjzyyWwR+/rnEJ5/4O4bD5a9/NfDuu3k8/XQzU6cObxB2pFBrFSsrK9m6dSt77bWXNvt0MHw+qKuT2LXL///BP5L2/15v39+bzZCfrzB9ukJamv+iF4sLYKDIV+sBa2pqhhRqoa4rMxNuusnN9u0St95qISlJ4cQTTSQnhzsDGo4/Hg491McddxTw9dcFXHedHdjFjBkNXHZZOY8+upAXXkjgxhu7yc0deNLJQCQkwG23ufnkE78J9Z13uli4UD8jIccqehKCsLsxY8sWiT//2UZbWyI33OBm7lwzXu8SrelErXlNTU3V6gtTUlKiNu1Ej4IL9CkE4x0R7M9wfzQx6oRguDtblmWqqqrYunUr8+fPJycnJ2Jr0ZsQ3LlT4qOPpvLvf3cBfe1P2tvbKS4uxmazsWrVKi0l+tNPEp995vcJVHfvpk1w110mXnstvAkfHg9cfbWJCRMUbr65Cqs1Og0Y4VJVVYXBYKCoqKhfa5j2dli/XmL9eonSUgNNTWA0+iNLEyb4/99oBJMJjEYFoxEMhsDH/D9ms//fLhd89pmBf/xDYscOI7t2LefZZ83MmAHTpvkFYkGBwqRJRMxA2+fzUVFRwc6dO4NEfmBENFJMnKjw5JNOvvrKyI03zuLoozu48krCngaTmgr33efihx8MXHFFFqecksZpp01l0SIfy5c7eOcdJ2ecMY7TTy9j2TKfNumkdx3XYBx0kI+FC51ceaWFfff1cdFFIxtbGAp6SsfqUXjpaT3bt8NTT80FLFx9tZu99tp9s2AymRg/frzmKdrT06MJw8bGRgCt/lCdoRwJ9Ngsoq5Jj+uKpxDs7u4WEUE909XVRUlJCQArV66M+IelNyF4770mzjijGoNhbtDjiqKwdetWKisr+0zLcLvhxhtNPP/87otjRwdcfLGZJ5/0hFWntWuXv6nk7LNljjtO5vvv+/cRjCV2u52uri7S09PZZ599MBiM1NXB+vUGSkslKiokenr8jQYLFigsWqRw9NFe8vKImFjwer189NG3rFx5CFu3JlBbK7F+vYG335bYssXfUW0y+SOI++6rcOCBctjds/35AwYSijAZzgm+qMjHQw9t4J13JnH88Tb+8AcXS5aEH3XbZx+Z11/v4YknzJxxhpUHHnAxcWIW554Lxx0H1123D9XV3ZxxRrVWxxU46cRisQy6/qwshRdecPKXv5g56ywrDz7oIitLP2It2ujp4q0XIdjSIvHQQwlUVGRw5JGlnHfeuCH/xmazYbPZtGknHR0d2O12zTrJYrEETTsZbgOBXlPDevMQBJEajgR7rBBsamqioqKCvLw8Zs+eHZUDxWg0jrj2KlI0NMC2bRJHHdURJL68Xi8VFRXs2rWLJUuWaAasKnfd5Z/tqw7RUEfR3XyzN6y6vvXrJa6+2sSf/+xl4UL/BbY/X8NYoSgKmzZtoqamBqMxieLi2TzwgAWXC6ZOhYULZX7+c5nVqxUi6B3dL+pFz2ZTmDfP/9Mbjwfq6yU+/VTikktMdHbC0qUKhx4qs88+yqBWKIH1gPPmzetzrEe7a9lsljj99BYuuCCN225L4Pnn4eabXYwb+rra63Xgt7/1UFnp46KLrFxwgYejj/aSkQFPP+3lvfcSue22pdx2Ww/Tp7dqM2grKytJTk7GarXi9XoHvIhKElxyiYd99/Vx7rlWVq92c+CB+rmRixZ6ik5C/IVgays89lgCxcVGrrzSzZVXNrNxY0fYryNJEqmpqaSmppKfn69NO7Hb7dTX11NWVkZqaqoWLUxLSwv5OqRXIai3NYE+UsNCCMaYoU4gai3Yjh07WLRoUUi1YMNFTxHBO+80ccMNPnbt2m2V0tnZSXFxMWazud8o0bp1ErW1Erfcsvs93HKLkcMPlykqCv3i8fbbBv7xDwNr1gSbRMfLSFmtg/zhBx8//XQw5eVOjj7ax9NPe+MylzaUMXdmM8yapTBrlsIFF8h4vfDDDxIffWTg7rslkpPhgANkDjlEZvp0/9/0Vw840FzsaIsBRVGYMEHh8cddfPutgV//2sYxx3g555zwZ0fPnes3nL7jDgsffWTkT3/yN3ocdZSXFSt8XHedlfz8CVx3XTrTp0/H4/Fgt9tpamrC6XTy2WefaRdfNV0XuF8WLZJ55ZUerr/ewn//a+Smm6LjOaiHqJeKntYSLyHY0QFPPpnAl18aufxyNzfe6EaSYNeuyKyn97QTl8sVNIHH5/MFTTsZrNNUj6Ir3pG3gYh3pDKS4+XixagTgoPR0dFBSUkJJpOJoqIibDZbVLenFyFYWSnh9fpTm59/7l9TU1MT5eXlTJkyhZkzZ/b5ArvdcMMNJp57zqM99vLLBtxuOPvs0MXb008bKCsz8NprfU2i4yEEGxu7eOihZr77bhbLliVxySXgcm1g/PjxpKVFcAZUGKgn+3DEmMkEK1YorFjhP75aW+HTTw089JCJ+nqJ/Hwfs2Y1MG3aZlatGnwudrQvur1ff/lymTfe6OEf/zBz/PE2brzRxbJl4R0HFgv88Y8uPv3UyCmn2LjtNheFhTLjxin87W9O/vlPEyefbOPhh51MmWImOzsbg8GA2+1m/vz52O12du3aRW1tLQkJCUFpZJPJRFISPPKIi9dfN3HaaTYefdTJxIn6ipxFinhH4HoT6/V0d8Mzz5j56CMTv/mNm6uvdgeVfUSrMcNisZCTk0NOTo427cRut9PS0kJtbS1msznohiXQxkqPzSJ6FKcQf4EqIoI6QVEUtmzZwoYNG5g6dSozZsyIyYFhNBrxeuPjURbInXcaufVW/zokSWLTpk20tbUN2h17zz1GzjvPh/rr77+XeOstAy+9FPr7+eQTia+/9k8f6e+8Hish6PPBf/4j8be/eWhudnHiiVb+9CcrVqv/wr5uXfxHvI00KpeeDsceK3PssTI9PT28+24lP/00jk8/PYDXXzdw1lk+DjxQ6bdZI9oRwf5e32iE887zcNxxXu64w58uvuUWd9jTGA44wMfChT1cc42VOXNkrrrKjdHon0qyZInfK/D88/0pZHUt6lSJKVOmBKXr6urqKC8v17o+x40bxwknpLBwocwFF1j5/e/drFoVmRs7PaVj9bQWiJ3IcbngH/8w8+67Jn79aw9vvtnT7/cjFo0Z/R2X6rSTzZs3U1FRQXJysiYKvV4fra1W7HYDKSmQnS2TmRm5uuXhEM3I20hOzyI1PHJGnRDs/YVV04B2u53FixdrEw1igR4igj/8IJGZCQUF/u6lnp4eZFkeNCJaUiJRXS1x003+tW/ZAjff7B9FF+r3qb4e7rvPxOuvD9yBGW0hWF8PL7xg5OuvJRYsaOaXvyznoINmkZ0d3BmuhxFvkTKVVusB586dwAknTMZgkNmyReb5543cd5+Bgw6SOfNMH4HN8bFKDffHuHEKDz3k4scfDZx/vpUzz/Rw4onh3TxlZsLf/ubkpZdMnHKKjfvvdzJ1qsK0aQqvvtrDLbdY+OILI1dc0fdADEzXzZw5E6fTqUVl1K7PzMxM7r9/HHffPYWffjJw2WXR7yqONWMpIqgo8NZbJp55xswZZ3h4662eQc9r8YiYGo3G/zU5ZdLVZaCuTuY//3FTVaXgcMjI8mSysrzMmtWJLCdit1twOAwoiv/9mc3+UozsbP/P5MkyBx/si5gDQX9EKyLocEBS0vDPT3pIDUfSjSQejDohGEhbWxslJSWaHUrgIPFYEM9mCJW77zby6KNeduzYwfr16zGbzeTn5w8oAj0euP56E88+67/YdXfDRReZeeyx0Ovnurrg0kvN/OUvnkEbLQJnDUeS9na47TYju3ZJnH22k8MP/xGv18PixUv6vTOLV61i7zWMRIwF1gP2nos8aRLccIMPn8/Hf/4jce21JhQFfvUrmcMOk2MSERyKwkJ/V/C99yZw/vlW7rnHGVYziSTBGWd4WbnSx+9+Z+WUUzyccooXiwXuvtvFe++ZuOCCbC64oGnQ17FareTm5pKbm4ssy3R0dNDS0oLdvpVf/WoD//73bE4+eTx//nMnkyal6rJLMlzifRPUm2gKr59+MnDnnRaKiny8/noPvcqi+yUWKU+3G775xkh5uYGNGw1s2eIXdYmJCgUFMjNnyhx7rIGZM2XS0hRKS0u1v21tbe3TJW8wWGhulti+XWLHDonyciOPPprAb3/r5pBDohOciFYK9tNPTSNq2op3RLC7u1vUCMYDRVFoaGhg48aNTJ8+nenTp8fljjfeqeFPPpGYPVumrW0DW7ZsYcGCBWzdunXQv7nnHiPnnusjO9t/Z3nJJSZWrx58FF0g6t9cd93QXcXR2D//938GnnjCyO9/72Wvvez/80XMZP78wgENh/UgBEcixnw+H+Xl5bS0tAT5A/bGaITDDlM47DAvO3bAiy8aeeghMwsXZnLAAY6RLH9IQnlvZjPceKObH380cPbZNi6/3M3PfhbeBUCdGHLffQlceKGVe+91kp7ubySZNKmV3/1uNmDiuOOGPu4MBgNpaWmkpaVpTScLFjj45JPt/OpX2Zx/fjF77WXUvAvDHSOlpyicntYSDSHY1CRxxx0WEhIUnnjCyYQJoX/XoiVMHQ748EMT//qXifZ2iaIiH4sW+TjySC+TJ/dfxuFH0o7NKVOmIMsy7e3tQV3ySUlJZGRkMHVqJnvtlc6RR5r49a/hgQcS+Pvfzdx0k5u5cyN7zouWYP74YyPXXDN89w2fzxf1MaGDIVLDccDr9bJu3Tra29sHvSjGgnimhhUF/vxniSuv/I6WFpfmk7h9+/YB11RaKlFVJXHjjf7f3323kZUrZQ4+OPST5n33GVmxQuaAA0IbKRYpAdbY6I9kzpyp8OabbpqbN/PDD9XMmjWLKVOmDHoij9es30CGuy96enpYt24dkiSxcuXKPp3fA5GdDatX+7jqKh///KeTp5+ewgsvmDjjDJmjj5bDNn4ejHAvooWFMmvX9nD77RY++MDEHXe4CGfao8kE11/v5ttvDfzqVzauv95f25eX5+WOO0r44IP9+Pxzf7dxiLsL2D2D9pRT4KCD4OKLV9DVtYuionqtuF+tLRyJR1ys2ZMjgt3d8PDDfiuYm24a3uSYSNYs1tdLfPCBiU8/NWG1Khx+uJd77nGFXRsbuCZ1NGN6+u4ueYfDgcPhoLq6GpfLRVpaGpmZmVx1VSYORyp33mklMVHh+uvdYYniwYiGEFQUaGw0jGiOc7xTw52dnSIiGGuMRiNJSUksWLAgrncB6lriJQRffLGDvLwWcnKszJ27WPsiDJSO9Xjg97/fnRL+5BOJrVslrr8+9PV/8IGB+nqJJ54I7W8iIQR9PvjLX4x89JHE3Xf7mDHDQ3l5OXa7PeQbgWhM1giX4UQEh/IHDG27UFTkYvLkRmbMSOf5540cdZSZ88/38ctfRk4QhvvebDa46y4Xn39u5LTTdou5cFi+XObll3u47jorX31l5OyzwWRS+OMfXfzrX0atnjDUaHcgEybAq696+NOfxvPCCxO4445uenp2e8SVl5eTkpKiRQtTU1N1FXULZE/sGpZleO01E2vWmLn4Yje//7172HWdI2kWkWX48UcDH3xg4qefjEydKnPEEV7OPbeHUEwrFMU/EWrzZonGRgNbt0pkZCh4vcksWGAmN7fvtB71hkVtBOzp6dFsajZv3gzAZZdlsGVLLhddlMPPf65w0UWe3psexnuNvODauNHArFkjvUbEv2s4JZw7WR0y6oSgwWBgzpw5cb+ww+4awVieaBVFoaqqhscey+bFFxOYOXNBv2vqzX33GTn7bH9KWJbh/vtNrFkT+smhulriiSeMgzaH9GakQrC4WOKmm0wcf7yPN97w0dPTxTffrNN8EUOtCY1WrWI4hCMEA0sfetcDjmTb48bB737n46KLfPz1r0aOPtrMhRf6OOaYkZ2IR5L23m8/H3vt1cONN1p4/30TN98cXhQvJQUef9zJc8+ZueyyCVx4YQMAP/+5f6zcFVdYOe208BtUwB95vOUWN++/b+T005N59FETM2f6CxvVppPAUWOBNVx6E196WstI98233xq4+24Lhxzi5Z//7GGk8YBwI4I9PfDf/xp5/30TjY0GCgt9HHWUl5tucvcRbbLsT1s3NhrYvFli82YDjY0SO3b4awQlCbKyZCZP9jd8LFgg43BIfPllCl98kUl7uw1Z9ovBvDyZ/HyZggJ/pFENSNtsNvLy8sjLy0NRFC2NPGHCJi6/vJTHHtuHnBwHK1faSE9PH3YkOxqC6+OPjRx88MjKh/RQIxip0YLxYtQJQT2hHnw+n2/A+rRI4nK5KCkp4d13Mzn1VBszZ/b1xetP9Kxf7x+lpkb//vlPA4ceGvoYs7Y2uPxyfzQxnH6c4QrBzk644w4jO3dKPPOMh+xstGaYSZMmMWvWrLBOSAaDAY9n5HfEIyHU9HSo9YDhbjtQqCUmwm9/6+P883089ZRfEF50kYfDD4/M64dLaio8+qiLDz4wctJJNm6/3cXixaEfN5IE55zjYerUDm65ZRFZWQb23lsmL8/fVfynPyXwxRcW7rrLFVKUpjdHHuljzhwnl11m5Yor/MX4gU0ngRffbdu2UVVVhdFoxGq10tLSQnp6elwvVHq4aQ5kuEJw82aJ22+3kJ7u95IcNy5yKc+h1uP1wgcfmHj9dRNOp8SBB3pZvdpNfn7fNezcKfHxx0b+8x8TO3dK5OfLTJniF3r77+9lyhR/p+9gp7DJkxuYPFkmO1u9xsDWrRINDQbWrzdwwgk2rr3Wzb77Bp/rJUnS6l6nTZuG1+tlwoQOrrsuj/Hjv8fp7CElJUW7YUlNTY3rtJMvvjBy1lkjOzfHMzWs+kOKiOAYRhV/sRCCLS0tlJaWkpIyjm++mcO77/Z/F2U0GoNEj5oSfuYZfyTP44FnnjHy1luhffnUkXO33+4lNze8NQ9HCH7wgYGHHjJy9dVeDjtMQZZlqqo2snnzZhYuXMjEiRPDWwT6sI8JJT2t1gMaDIaw6gGHYqD3n5QEV13l48ILfTzxhIEnn0zkN7/x8POf+8JOs0Vi/x5xhI9ly5xcc42FWbNkVq929zEpH4xFi9zcdFM19923ip/9zMdZZ3m0qN6HHxo59VQbjz3mZPLk8Nc6fbrCK6/0sHq1lZISI7/73e5UZO+Lr8fjL19wuVxs2LABj8cTNFEiKSkp5hG60RwR7OjwN0Fs3GjgppvczJkT2XrfwdazZYvEc8+Z+fZbIz//uZcHH3SSmRn8HI8Hvv3WyMcfGykuNpKVpXDwwV7uuMNFdvbwvhe9RZfRCFOmKEyZ4mO//XycfrqHP/3JwosvmrnttoG3YzKZWLAgg/33T6ClZV8OPbRTi2Rv3boVWZaDTK1tNtug004iKbhcLvB4JEbaZ6GH1LBoFokDeriwq+sAopp2VBSFuro66urqmD17Nu++m89ZZ8kDpkOMRiNOp1P79/33GznzTB+qfvrHPwyceqov5PTbbbcZ+dnPZJYvD39/h5OSlWX4/e+NGI3w5pt+Wxo1Aupy+ZthhluQOxq6hltaWigpKRlRPeBwt52cDFdf7eWcc9z89a9WnnoqgYsvdnP44aEJwkiKjHHjFJ55xsnatX7PwIcfDk+4paZ6eOEFJ/fem8Dll1u4915/FPCww3zMmOGP6l19tZv99gv/O2uz+dPQTz5p5oILrDz8sLPfi5jZbCYxMZHk5GQKCgro7u7WLr51dXVa04n6E+2mEz2cKwMJVQj6fLBmjZm1a01ccYWbW26Jzlz33qlhnw8++sjImjVmLBY4+2wPN9wQXINYXy/x8ccmPvvMSE+PxLJlPo45xsvNN/dND0diTb1JT4f77nNRUmLg4outHHaYlwsu8Aw4KvHyy92cfLKNww4LjmR3dvqF4c6dO6mpqQk6NjMyMoLq8GVZjmhd/jffGFm5cuTXzninhkVEcIwjSVJUG0bcbjelpaV0dXWxbNkyTKY03nnHyLvvDhzNCxQ95eUS69dLXHedf33d3fDGG0beeSe0aOAbbxjo6IBzzhmeiArVZ9Hng8suM1FYKHP++f7nt7a2UlxcTHp6OkuWLBlRxFUvQrC/NUS6HnCgbYciBlJT4Zpr3Fx4IfzlLwk8+WQCq1f3TT/1RyTFhiTBySd72WcfH5ddZuXSS/2iNFQMBvj979189JE/CvjQQ06mTfMbUL/0Ug+//a2VsjIDv/lN+MbRkgQXX+zhs89kTj/dxiOP+M2tB36+RFJSEklJSUyePDloosSmTZv6TDpJSUmJSnRjtEUEP/vMyP33J3D00V7efLMnKrOgVdTU8I4dEi+8YOazz4wcfLCP++/f3e3rcsEnnxj56CMTGzcamDZN5pBDfDz6qDMq88tDbWDZay+/P+eaNSZOOMHGM884ycrqezwmJvoF7dNPm7n8cv/5X5IkUlJSSElJYerUqdoUHofDQUNDg9YQpYrCSEfePv7YOKza3d7EMzXs9XpxuVwiIjjWMZlMURGCqhBKS0ujqKgIs9nMPfcYufjiwd3jVWHq9cK115r42992X+wee8zIb37jC+mkun69xAsv+GcID5dQBJjbDRdcYOLII2VOOcXfeNPY2EhVVRUzZ85k6tSpI76IRcI+pr0dNmyQ6OgAl0uip8dfNO50gtMpBfy///HERMjLU8jLg9xcBYfDitcbfIKORj3gQIQj1NLS/ELK4YC77ho6/RStCP306f4av+uvt/DNN0ZuvNE96LHf+zg59FAfs2b5G0YuusjNEUf4SEqCv/7VycMPJ3DppVbuv985rLrB/ff3MXWq/7WvusrNAQcEnwMG2h/qRInMzExmzJiBy+XSJp1s3boVRVG0VN24ceMiUh6gt8aVwdZTW+v3A8zNVXjuuR7S06O9Fvjuu2TefjuLxEQLZ57p4aqrdkf1SkoMvPiimZoaA4ce6uWii9zMmKFEffJMOOLGYIAzz/Qya5bMPfckcN99rn6fd+KJXk44wcZpp3n7FYuBU3jAH4hQI9kVFRW43W46OzuRJCkiJQ7r1xu59daRR3njmRru7OwEEBHBeKCnk1qkI4KBEaJAIWS3wxdfGLj22sGjeWo69vXXDRxzzO5RY+rfX3PN0NHAlha4+moTL77oCatGq7+1DCbAurvh3HNNnHWWzFFHyZow2rVrF4WFhWT2LsYZwTrCESq7dvk7lktKDBQXS7S3+7tT581TSEsDi0XBZvOnCjMzwWqVsVrRHrNYFLq7JZqa/DVGpaUGiovzcTpTSUjwf+USEnyYTC3k5GRw3HFzSU6OXnpwuEItIwPuvdeffvrNb6z8/Odezj8/9DGEkcBqhQcfdPHKKyYtAhdO3dWUKbvF5Pff7xaTV17p5uOPR1Y3OHWqwssv+yOM5eUGLr44/AijxWIhJyeHnJwcFEXRJp1s376d6upqbDabJgqH23Six9Rwb1pb4b77LGzdKnHTTa5hWf6EQ0sLvPSSmQ8/NDF7dhK/+10TK1dO1X732mtm/vUvE/PmyZxzjof582ObURiOpc3y5TJPPilRWytRUNB3/0kSnHuuh7ffNnHeeUNfBxISEpg4cSITJ05EURR+/PFHLBYLDoeDuro6TCaTFi30j8sLvZOwuVli/PjBG2ZCQVGUuEYEu7q6AISP4FgnkkLQ4/FQVlZGW1tbnwjRAw8Yueoq75AXGjUd+8orBl58cXc0789/NrJ69dB/D/CHP5j44x+9jB8/3HfiZzAh2N4OZ51l4sorfRx4oEJ3dzfr1q3DaDRSVFQUsUaJodbR3Q2ffmrgp58kysr8kb3MTNh7b4WlS2XOP18ZZupHYf58/38BvvuuhtzcXCZNmkRLSwvffFOKwTAZSZrBxx8beeABCUWBxYsVVq3y12RGKtsw0ojdXnvJ/POfPTz/vJnjj7dx000uli7dvT9jUbN76qle9tpL5vzzrVx33cDp6v7WYbHAAw+4ePllE2ecYeXxx12MG6dwyCE+pk1zcuml1n47MEMhMRGeftrJI4+YuewyC/ffH579TSCSJJGamkpqaqrW8elwOGhpaaGqqgq3201aWprmXRhOREZPN8+BEUGvF5591sy775pYvdrN/vtHs97a39Tx7LNmurrgjDM8XHxxDxs3bsVksvDvfxt5+WUzXq+/NGHt2vCtaXp6oKbGQHW1gaoq/3+7uqQgwWM0KiQm+ufrJiX5x8zl5Skcd5wH9ZQ/3A7dG25wceedFp55xtnv77OzZaqqwr/sS5J/2klWVhY5OTn8f/bOOzqqqu3iv3unphcCBAi9d6SDXUHFBiKCSu+9dwSkI016R6o0UVBREVBRFOSlht5r6KQBSabee78/jjNJSJtJgui33Gu5Xn0zc+e2c84+T9lbVVV3icP169fdbieuaHdWm5Zffsm5bAyId0nTtCdGBJOSkvDx8fnXW1H+RwRziNzSqHvw4AGRkZH4+vpSv379VEW5t26JtOSECVkvtjqdjnPnzBQvLpoAAK5fFykXT9xAzp+XSEyEWrVyvrBnRMCio6FtWwMff+ykdm2Nu3fvcuzYMQoVKkTZsmVzPcz/6HmIdJDEmjU6rl+HV15RadBApX9/LVPv5Nw4hytXrnD+/HmqVEmuB3ztNfH+2O1w5IjE3r0yS5dKJCVBuXIa9etr1K+vZpuY5wZRk2Uh0fLWW07GjTOydi2MGmUjT56/j2SULy8EpAcONLN/v45+/bwrzP/gAyeVKqm0bWtm2jQb5curlCghonp9+pg5fjz7dYN9+zrcNYnz51v/+v9zdl/0ej158+Ylb968aJqGxWL5yxc5NlVExkUMM2o6+SdGBGVZ5qefdMyZY6RZMyebN1seW6TZZoMNGwxs3qynRg2FESNs7rrOCxckFiwoxJkzQbzxho7Jk22Eh2d9vywWOHZM5uxZHWfPyly6JOF0SpjNGqVKqZQpo/Lqq05691bTuOYoivBrT0qSSEgQ/3vxokyvXmYCAqBNGweKkj0iWLq0RlCQxsGDMjVrpp17Q0I04uKyK56dHHmTZZmQkBBCQkIoWbKk2+0kNjaWs2fPYrPZCA4OJiQkhDx58uDv759qPPzyi54JE9JPYXsD19r7JFPD3lpP/hPxrySC/6SbntMaQU3TuH79OmfOnMnQN3nKFD3Dhnnu5rF1a0HGjk3+/KRJekaM8Oz7EyfqGDkyd3bl6RHBGzegY0cD06aJRfn8+QtcuXKFSpUqUcCVx85luIjQ7duwbp2On36SqV5dpU8fhTJl/r5F8saNG1itVmrVqkVwOsVPRiPUqaNRp464/6oKZ89K/PGHxKBBeu7fhzfeUHn3XTWNhEVmyO2u3tmzbfzvfzIdOvjw7rtOnn327yMb/v6waJGV5csNtG0rOne9uReVK6usWGGlWzcznTol1w0uWybqBnv1MjF9evb0Bhs0EBHG7t3NtGrlT40a6UdlsgNJkvD19cXX15fChQujqirx8cLpJGVhf0qnk5SL4z9pzrxyxYcpU8KpVEnH2rUWr+wFvcHDhyLa+NNPelq0cLgjfAkJsHatni1bDBQooFK/fiwDB8ZRrFjm5ulXr0ps367n1191qCpUr65SrpxKmzYOihfPWMnhUeh0ojErMNA1ZjSqVFF55x0n165JrF5tYPv2ujRt6kubNnitlzhsmJ2ePc188YUlzaYmJIRsE8HMavFSup24Ni2u+sKrV6+6iaOIFoYSHe2TK9Z3rvXlSUXkEhIS/vWNIvAvJYL/JOQkNex0Ojl16hTR0dFUr17dXaSbEnY7XL4MNWt6NmiSkvTcvStRoYL4/NmzElYrVK2a9fePHBGaTrlVn/NotPTSJeje3cD8+U6KFLFx8OBRLBYLdevWfWzFtnY77Njhx5o1FQgPF167ffpkLLPwOGCxWIiPj8dgMHilDyjLUL68RvnyGp07qyQlwfffy/TsqUeSoGlTUVuZFWl5HKnbOnVEunjpUgM9exalU6dLVKqU9fdyA5IEHTs6qF5doU0bH8aOtVGjhuc1VXnziu7hgQNNnDsn06ePiAK66gY/+MCHBQusFCzo/T0rWVJj7VoL7drl5cqVJIYM8foQHkGWZXcaDnA3ncTGxnL8+HFUVXX/3W5/PLIr3iImBj75xMSFC0X5+ONYqlULfiy/Ex0tsXChgcOHdXTo4ODrrwUh2r9fZs0aA3fuyDRp4mDVKgt+fnD8+EN0urTn4nAIiZPt2/WcOCFTtKjKK68oLFli5XGVhBUpojFihJU6dfZhsbxA27a+jB/vncB6vnwaVaoo/P67Lk2qPThYIz4+e+fmabo65aYlIiICVVV5+PChW3B927ZbhIYW5dy5WHcaObuqEC5y+qQ2OomJiWminf9G/EcEc4jsEsGEhASOHDmC0WjMtCZuzx6JZ57xfEHavNmXF164AIjCtgkTdIwZ41ktxief6JgxI+d1Gy64dmlCFFpH//6iizkw8D579x5xd0Q/DjHu+/eFrd6RIzLPPaenb9+jvPlm3Vz/nawQExNDZGQkBoOBwoUL56j20dcX3ntP5b33VGJihLzPBx/oyZsXWrRQePFFLd30mqdE0NvJTK8XUip16txiwoSCXLhgZMAA+99Gsp96SmXNGtGs0aCBwltveR6ZNJmEm8n8+QZ69jTz6adWzGZ4+WXRDdyli5kJE2xUq+Z9k0BAAIwff4nlywszZIiJSZNsj/2epNd0Ehsby507d4iPj/+rZOScu7j/74ygOBywdKlozBg61I4knaRw4VK5/jvXrknMnWvk+nWJbt0cjBxpR1Hg66/1rFljoFIllf797WkaKVLWLN65I/HTT0ImJiFBom5dhfffF80if9daL1KwGo0aOXn2WQtt2ohygyJFPF8HqldXuXRJTkME9XpwOnOeGvYGsiynElxfs8ZA27bRaJrG+fPnsVqtbgml0NBQrySUnrSY9P8Hezn4lxLBfxL7zg4RvHnzJidPnqRo0aKUKlUq0xf5hx9k2rf3bDHSNNi2zUTfvjeBChw4IJEnD5QsmfV3//hDolgxjYgIDy/CA7iu69Iljf799axe7cBmi2L//jOUKlWKYsWK5fqz1DRYv15m9WodQ4c6mTBBISYmiRMncl6P4t15pNYHjI2NzdXj58kDnTurdO6scuUKfPGFjk8/lalcWaV7d4VixZI/6ykRdH3G22eSN6+Tjz8+x8mT1Wne3Ifp062UKPH3pIpDQmDlSisTJhgZNy6Ypk09P3dJgl69HOzYITQBFy4UHcmlSmmsXm2hWzcfWrcWdZHeQpahe/fbREYG0bq1mYULrY9dCsWFlE0nxYoV4/Lly8TGxqJpGufOnXPXb7kW3scZ0di1S8fMmUZatHDw1VcWZBn27ctdOZvTp2XmzDFiswnh5KeeUnn4EBYsMLBtm57XX3eyenXGKegbNwxs3BjGmTM+5Mmj0bChkxkzvCs5yE240p0inQrz5gkh9DVrLB43rgUHa1y4kLvPNDcs5u7dk7h7V8ezzwbhClZYLBZ3faHLt9tVfxgaGpop0XqSHcMgAjr/9o5h+JcSwX8SvCGCiqJw+vRp7ty5Q7Vq1cibRfW/psGpUzLly3t2/D17JGrWVJBlJ6qq8ckneubPz3oR0zQRPfvss9yLBoIrNSzRr5+R+fNt3Llzknv37mWYBs8pTp6UGDlSx7PPanz7rcNds+OtfExOkVIf0FUPGBcX99hErYsVgyFDFAYPVjh8WOLjj/Xo9dCvn0Llytpj7+qVJAlJgg8/dPL00woDBphp0sRBq1aedannFLIMo0fbWbHCzsSJVdmwAa9I1yuvKBQtaqNjRzMTJ9qoWlXUYK5da2HwYBMXLsj062f3+lokSeLdd50UL67SurUPn35qpXTpv79xQ5IkzGYzZcuWBUjldHLlypVU2oahoaG54h5x5YrEmDEmChfW+PxzC4EpbNFz61383/9k5s83EhysMWCAjdKlNW7ckBg1ysSJEzJt2oi0cHrR2KQk+PZbUScIRfjgAyvjxnnWsKKqcOmSxPHjOo4fl4mLk1AUEWlzOkUEVPw3KIpEoUIqzz+v8OyzTo/IZUoiCEKmaPRoG127mlm92upRLWJQkMb9+/88IrhkiYHOnVNL1/j4+ODj4+N2O3FFs+/evcv58+cxmUyp3E5SNkX9E1xF/qsR/A9pvH0zQmJiIpGRkciyTP369fHxoBr97FmJsmU9T0l89pmOjz6yceEC7NwpUbmyhifWvD/+KFOrlkZYmGe/4ylkWWbDhrI0bZrAnTtHkCQp16VhQBSFT5yo49YtiblznWmimn+ns0hKv+D69eu7tbX+DjIqSVCjhsaqVU4uXoRZs/TcuwcdOhhwydg8LriurWhRjS++sDB7tpH27c3MmGHzutg9u2jSJAm4SatWNZk1y+pVrWvZsiqrV1vo3t2HDz5w0KSJE4NBaBjOn2+gd28Tn35q81pOBESabvFiKz16mOnb186LLz4+iZSMkDIC92j9lksG5Nq1a5w6dcrtJhEaGkpQUJBXi39iovAFPntW5uOPbekS35wIXGuasH9bssRImTIqn3xio2BBjWPHZLp2NWGzQbduDsaNS2uPqGlw4IDM2rUGbtyQefttJ8uWWTh37gyFChVKlwRaLGIzfvy4jgMHZHbs0HPnTvL9KFhQJW9eUZJhMIBer6HXi4YQvV785qFDOg4eFB3SQUEaFSqoPP+82DSlF+xyaQimvEc1a6q0auVk9GgTn3ySdXZD1AJm5Bmc5dfTQNO0HKdhk5Jg/34dI0ZkXLP6aDTb5XYSGxvL5cuXOXHiBIGBge5oocPheOKp4f8igv8hjbdverh9+zYnTpzwWh7l++9lXn/ds1F7546QSShWTObcOeEisn591guOqsLcuTo2bPDMds4b/P67TGysmSJF9hAcXJBy5crl6qDVNNi0Seazz3QMHuykQYP0F/6/iwi66gHDw8MpX758mq7NvzMqWbIkzJ3r5PZtmDnTyO+/18Zmk3njDTVXvFBT4tFFXaeDAQPsREbKtGtnpndv7yzicnIeZcveZ8kS0bnbr593pCs0FD7/XIhPnz4tM2yY3Z0+3rZNx4cf+rB4sdUjYvvosy5YMFmm5sIFOU1U5HEis/fuURkQl5tETEwMJ06cQFXVVE4nGW1gNQ02b9azcqWBnj3tjBqV8WKflY9uenA6k2v96tdXWLxYuI7s3Kmjf38jEREqQ4bY0hVSvnNHYsMGPT//rKd6dYVeveypCGrK80lKgl9/1bF6tYEffkgtx1OtmkKbNg4qV1apWFGhRIn0a3IfRXw87N6tZ9cuHZcuyRw4IHPmjJHZs2HyZBuVK6eemzK6P2++6WT5cgOaRpbBgaCg9Imgpol/vIXrHcpJ9G3tWgMtW3onz/So20nKpqiTJ0/icDjQ6XRERUW508h/Z+nYfxHBJ4h/S42gaJI4y40bN6hUqRLhnoTnUuCPPyR69/Zs1K5apaNdO7Fj27OnEC+95CAoKOvJ9ssvZV59VU2VuskNxMRojBzpoH//E25ZnNzE+fMSw4bpqFtXpIEzE7V/3CQsZT1g+fLliUin0DI3bO6yg/Bw+PhjK9u3H+T8+Vd44w0D77+v8OGHao5cYx5Feve3WjWVL76wMHq0iR079IwbZ3tsOo0pzyMl6Tp/XqZLF89Jl8EA06fbWLrUQI8eQp7GaIRGjRQiImy0bWvm009tlCnj/bP08RHi01OnGhkwwMSUKbZcfQYZwZsI3KNuEgkJCcTExLjTdGazOZXTiV6v5/hxmXHjTDz9tMKXX1oyHYveno/VKhxAtmzR88YbTtatE+nbjRsNfPWVnueeU1i40JIm5Wq3w/bter74QpRJvP++g549008T371rYM+eQBYt8uPGDTFnPv20k08/tVKpkkr58kqO/ISDg+Htt528/bYovbl0SWLZMiPR0RLjxplo1sxBixbJZTmZuYqUKaNy7pxM2bKZv3/+/pCYmPYYV69KFCni/bv7aLraWyiKSMVv3mzJ1vddeLQp6vLly9y5c4eYmBguXryIwWBwb1xyq8whM/xXI/gfgIyJoMViITIyEk3TqF+/vtedRTExYjB78h4rCuzaJTNokCCCv/0WwTffWIHMf9PhgOXLdXz9de5GJ2w2O23bWmnd+hIBAeR6PeBvv0lMn65n/nwHRYpk/fnciAg6HHDzJty4IXHjhsT16xI3bghdxHv3HmK3hxAc3BCDIXlIueZynQ5stmIEBTmpW1embFmNcuU0ChTIemefG5AkCR8fBwMGKPTsqbBmjcxbbxno31/h1VdV92dycvyMiLaPD0ybZuOnn3S0aOHDxIk2qlR5/ITY11d4CmeXdHXu7GDbNpVWrXxYvNhCSIjQIFy2TGgQZjfFK0kwdKidb77R06qVT7ok5p8CSZIICAggICCAYsWK4XQ6iY+PJyYmhvPnz3P3rsJXX1VB03yYNOkhpUp5Fo3xhAjabLB6tYFvv9Xz/vsONm+28OCB6Areu1dH8+ZCF/BR0nn2rMzKlQZOnZJ57TUns2alLU3QNOEhvGmTgblzjcAzAHTtaqdZMwc1a6qP1UaxRAmNSZNsbNqkZ+NGA3v26Dh8WMeECeIdzawWr359hb17dVkSwYxu78GDOmrW9P69zSkR3LpVz2uvOXN14yNJEgaDAT8/P6pUqYKiKGnKHPz9/VOVOeR2PWFiYmKuWaE+SfxHBHOI9IjgvXv3OHbsGOHh4ZQrVy5bL9/27TKvvOLZgrl9u0zDhiLlFx0NPj4KRmPWg331apnmzZVsW2KlhwcPHjBx4l1Kl/anXbuK7NmzJ1cjYZs2yWzeLLNhg8NjCzZXfZ43kYikJNF88/PPMidPyvj4aAQGirofvZ6/JjQHEE1Cgj9Xr4ahaRImkyDvvr4aISFCDNbPD4xGFVWFP/+U+d//xG88eCAWpbx5hYNI+fIadeuqpHAWzBW4rlnTNEwmiU6dVN5/X/2rQUjP2LEK5cplv27Lk+81aKDw1FNWevY00aSJk/ffz93GpPTPK5l0tWwpSJc3e5JGjRTCw220aSP8iIsW1QgPF9HGXr3MXL0q065d9jZRjRs7KVZMpU0bn2xHGD1FTmryUkKv1xMWFkZwcBi//Wbgu+8kunS5RZEiV7h5M47bt+VUTicZRWMyOx+7XaQQN2/W8+GHDrZssXDnjsSIESauX5fo2NHxlwRNyuPBzz/rWL7cQFiYRocOjjSyP2KzrGPuXCO7dollL18+lRkzrOTPv59nnima4YIeHw/nz8ucPy9z4YKMxSJhMmkYDPw13pP/vVIlhZo1PSu/eO89J2XKqIwYIaKpPXuaWbLEmiURHD7cRPv2Wb936U27Bw8KbUVv4VrjsvMeaZog9atX5ywamB5SNoukbHoCsNvt7m7k06dP43A4CAoKytVu+aSkpP9Sw08K/9TUsKqqXLhwgatXr1KxYkUKFiyY7eP++KPssabf6tUy8+aJz27bJlOnTjSqmrlLh8UCmzbp+O673IsGXr9+nR07rnH0aE2+/96ATiflan3e7Nk6LlyQWLPG6ZUum2tSzUxqQFXh+HGJn36S2btXeIOWKydInL+/xpYtab+n10PBgmHUravn3XfF5G+ziX8sFqHgHxsrUkG3b/sRHa0nISH1cUqXVgkL04iKkrh+Hdas0ZOUJATEX3lFpUYNz+qQMkNKIuj6d39/GDtW4coVGDNGT3CwzNChDkJDs5dC9yT1niePxtq1VsaPNzJ4sImJE7PXfJERMpoXGjcWnbtt2/owd66V4sU9v8annlKZP1/4EY8da6N6dSHgvXSplTFjjIwbZ2TUqPQ7irOap6pWVfnsMxFh7NHDTsOGj6+OMrfmzN9/1zF9upF333Xy9dd2ZDkPkCdV00lUVJQ7GuMihSmbTtJ7V5xOWL9eRMhatBARwFu3JAYPNhEbK9G3r53q1VPPIxaLSBFv3qzn6acV5syxERaW+tgXLkh8+qmJzz8XoagXX3SyaVMSzz2nuIXY9+61IEkSMTHCi/jcOTHPuJpCgoI0SpdWKVVKpXFjJ/7+Gna7hN0uxrrDIf7daoUdO/RMmqSjaFGVN95w8vzzSqap8qpVVVatstK6tZmICI1z52Ty5MmYCIaFacTEZP0sb9yQCA9PO+9euCBTqlT2UsPZFW7eu1dH1arKYxHhzow0G41G8ufPT/78+dE0zd0tHxcXx5UrV1KJsoeGhrob+7xBYmLiYzND+DvxrySC/yS4iKDVauXo0aM4HA7q1auXo7oBu11Eizzxlr18WSzqro7fbdtkPvggGkXJl+n3Fi/W0bGjkitCt6qqcurUKa5fv8f69S+wapXkJi+5QQRVFYYN0xESAnPmeC9JkpIIPYqLF2HOHD2XL0sUKqRhMomano0bZbZuFd+rW1dl4UIHxYtrRERoOJ1XiIoS9YD580eQkKCQkCBqchISRBezxSIREKCSL59wsoiOvoDNZqVy5crEx8O5cxJnz0ocPSqxdauOq1eTL6pMGZXgYLhyRce9exAUBC+/rNKwoUp29haZXX+xYrBypZM//oCOHX145RUnnTs7vErheLM46HQwZoydb7/V88EHQijXE2/XnKJKFZVFi0QTiYvQeYoiRTTWrLHQtasP7doJWzpZhnHj7GlqCV3wtCY1f34RYezXT9Qzdu/uvddxVsiN+tioKCEHkzevxqpVljTyPBk1nbiK+hVFcddupayBczph0yY969YZaNpUeA7fuCExYICJhw8l+ve3U7Vq6md1+7bEkiUGDh3Sua3jUq7hDx8KgjhggEh1FCumsmlTEi+/nHq+s1qFc8jnn5fm7t18hIXpqF9foWZNhQ8+UMmXT8vkWaR/Txs1EmT+8mWJ77/Xs3SpkdKlVcaOzbg0ISxMo2VLB6dO6Vi40MBHH2XeTBMRoXL9ukRERMbP9eBBHbVqpb5vdrvoas5Odjcnen2LFxuYOvXx6Lh6Kh8jSRJ+fn74+fm5LRofPHhAbGwsN27c4MyZM/j6+rrfUU9F1/9rFnnC+Lu7MDOCTqfDbrezd+9ewsLCqFGjRo6dMvbskXj6ac+u7bPPdHTuLCafpCSxQw0O1jIlXw8ewM6dMlu35jwa6KqFBNi58wX69tVRsGDyb+eUCFqt0LWrnpdeUmnbNnvHSRkRdOHAAYm5c3UYjVCtmsaff0rs2CEGftmyKmPHKjRsqFKpklgMoqLg0CHYuDGaM2eC8fVtiNksCtH9/ISbhL+/K4IIPj4aDx/K3LsHd+9K3LhRFEVxEhgo3o3AQKhYUeONN1RGj1YIDBQL2O7dMlu2yHz+efIk1LixwsGDMr/+KhMTI9G4sULz5mnN7LNCZuPl6ac1vvoqiY0bDTRt6kOvXnZefdXzCJW3Y/Htt52ULavSqZOZUaNs1KmTO1HjzM4jIkIQus6dfejc2btO5uBgWLNGELZr12S6dhVjJ2Ut4ZIlaQmSJzCbYeFCKzNnGunf38TUqbkbKYXsRwQtFpg928jRozIff2ynXDnPnlN6TSexsbHcu3cPTdM4dCiSyMgyfP99AZo21fjySwvXrkn062fGZhNd5xUrpv6to0dlFi40YrFAp06OVJFYTRORp0GDTJw8KcbOhAlWWrVyuGswVRWOHZP59Vcdf/6pQ9PEJu+ZZ27RpImJ4ODc65grXlyjVy8HvXo5+PprPW3bmlm0yJphU16zZk5atDDg66sRE5P58zIYsu78PXhQxwcfpJ7fT5yQ09xTT5FdDcEzZ2SCg7XHttlTVTVb660sywQHBxMcHEyJEiVwOBzExcURFxfnFl1PmUYOCAhI95n8FxH8D2iaxs2bN3E4HFSsWJGIiIhcScH88INMu3ZZD1ibDY4ckRk/XixoP/8s8/LLapYi1/Pn6+jdW8mxjEh0dDRHjx4lPDycqKiKKIqeN99Mnc7OCRGMi4P27fX06KHwyivZn0hcE5iiqGzfLrN4sUxEBJQurTF5so7PP5d4802F8eMdPPOMitkMv/wi8cUXMuPGCZHYAgWchIRcpl69JKZMKfXXhO55ndulS9d58OAB1apVQ9NE3dHx4xKHDsksXy7x4IGI6tasqdK1q8L8+U5u3YKffpKZO1fHN9+Ia6haVeXXX2W2bpUpUADatVOoXTuzyAWZpuRcuHnzJufPn6dy5QBq1QpjxYoItmwxM2lS1g4L2d2UlS2rsm6d6O49elShc+fcj4Y9iuBgIRHTq5eZ27eF6LCnMBph/nwrkycb+egjE+PH25BlEQXKl89G69bCo7hwYe/vhSQJ8vP996KecdEiz2RqPEF2agQ1TXR5Ll1qoFu3tHV53iBl00nhwkWZOPEMf/xRgfr1Y/noo71cuSLRqlUFDAYTAwYkUqOGj/t8FQV+/FHPqlUGihZVGTw4tUTM9esSM2caWbpUMOfGjR0sX26lfHkx59jtsG2bji1bDERHS1SqpPDCC+Jdc6WGd++OR6d7fC9ekyZOChYUm4X589N/P8xmqFFDQVVh3boA3n4748n5zh2J/PkzfzfOnEnbWZzdRhHIvpXb/PkGevV6fFJJiqLkSmewwWAgX7585MsnMmkWi8Ud0b527RqAO1poNpvdDZCJiYm5ZjG3cOFCFi5cyJUrVwCoWLEio0ePplGjRgBYrVYGDhzIhg0bsNlsvPrqqyxYsID8+fPn+Lf/I4LZhN1u59ixYyQkJCBJEoULF86V47rcRCpUyHrAbt4s07RpsnDq1q0yI0c6uXlTzpQI7tkjM2xY9genpmlcunSJS5cuUb58eUJCIhgwwJBu97FwF/F+8rl1C9q3NzBpkpPq1XO2IKqqxK+/FmbmTF/Kl5cpVAiWLBFRg0GDnPTtq5A3r3AmmTBBx9GjMi+9pNK8uUr58hoPHgh9wAIFClCuXPlsTYgpBaUlSVijPfeclsoL9O5dOHxY5scfZaZMEen1115T+flnByEhIlI8c6aOTZvEuTdtqrB4sY6xYyUaNVL54AMlU1Hw9Miay3YsKiqKUqVK/aXTdZOGDc9w5Uo4zZqVp0cPC02bmjK87pxsfgIDYcUKEQ3r2dPMjBlWPNBazxFMJli82MqoUSYmTTIyfLjnJEeSYMQIO2vX6unUycyCBda/FnGVuXNF6nnixOzLwrzxhpOiRVXatjUzbZrNTWhyAm+J4KlTMmPHmqhRQ2HTJkuuPA9Ng+++07NkiYHixX3YsMHCrVuhfPrpc8iyk759bxIUdInY2Fj++EPGbA5j165i/PZbMK++qqaKtqoqbNsmSgsAwsJUNm5MomFDkfpVVdizR8emTXquXpV5+WUnY8faKFAg/XkkO7qG3qJ2bZXZs0U96IoVVvLlS3sunTs7GD7cRHS0mSZNMj4fu13KNGLsdAq3nUczmwcP6mjaNHtNWtmJCN6+LREfL2XZ4ZwTPC5nER8fHwoVKkShQoXQNM2dRr5z5w79+vXj7t271KtXL1t1hRkhIiKCTz75hNKlS6NpGqtWraJx48YcOXKEihUr0r9/f77//ns2bdpEUFAQvXr1omnTpuzZsyfHv/2vJYJPMjUcFxfH0aNHCQoKombNmvzxxx+51pnnjZvIxo0ya9eKge10ws2bEkWKwJ07ugyjcOfPS5QsmXkEKTM4HA43Aa5Tpw6BgYHMm6ejUycl3QVDp8v4XDKC3Q7duumZNctJuXI5e8ZXrkD//npCQnwJCVFZtMiATqcxY4aTdu1Ebd+GDTq2bxc76JYtVSZNEuRa0zSuXLnChQsXMtQH9BSevK/58gni99pr4r8fPBBNQ/37iwaShg1V5s934u/vZONGmUGD9NhsEkWKaJw5I9Gjh56QEBgyxJnKXzqj99LhcHD06FEsFgt169Z1WzcVL14ch8NBhQqxVKt2hjlz8rB+vZUBA25SrJjwqH1UWDgnY9EVDfvlFx3vvy88fwsWzE5UzfOXWpZh4kQbCxYY6NNHuIZ4Q95atnSSL59G69Y+LFsmPGCLFRP1c126+PD660G8/HL2NluVKqmsWCFIQ+fOdl57LedNJJ7cm7g4mDzZRFycxIwZ1kxr0DyFpsGPP+pYtMjICy8orF2byBdf3KNfv9IEBkqMGGH7y5c6H5CPe/c0Zs3SOHxY4uWXr9Kv3z6CgvyIjg7lwYM8rFmTjylTRO3fkCE2evSwExoqfuf4cSEJc+yYTL16QjjaE3eZzHT7chPFi2sMGGBn5UoDQ4akFdwuUEDDYpHQ6XJGTNMLJKiqiCQ+2kzjKbJTI7h4sYgmP078HV7DkiQRFBREUFAQxYsX55tvvmHHjh389NNPXL16lSZNmlC7dm0aNmzIK6+8Qu3atVPZ4HmKt956K9V/T5w4kYULF7Jv3z4iIiL47LPPWLduHS+99BIAK1asoHz58uzbt4+6devm6Br/tUTwSSAlMShdujRFixbF6RRETFGUHNcGgkgLe+Imcv065M+PW0Llzz8l6tVL1nrKKAq3davMm29mb2F5+PAhR44cwc/Pj/r162MwGLDbxTF/+CH9AZ+d1PDw4To6dFBzRAI1DVatkvn6a5kGDTQGDSqHj4/GypUO3n1X5fx5ia5d9UgStGihsnmzI9UuW1EUTpw4QWxsrNsvOCfIzsYlMBCaNxeRyaQkUdc5cqSemBho0EDjyhU7N29Kf8nAiMnw3XcVhg7VExoq/IdLlUreoKR8DomJiRw+fBhfX1/q1q2LXq/Hbk9enAwGg7vjbvlyjV277IweXYlmzS5Trtw+fHx83Ir/ubUhe+klhSJFrHTpYmbKFFu265m8QY8eooarXTszixdbvepsbNhQISREyMssWmSlQAGNPHmER3Hr1mE8eGClf//snVfevBrr1lkYONDE+fMyvXplP22e1fNRFCHv8fXXeoYMsfP00zknni4ruAULjNSvr7BmjYULF2R69fLBai3GpElJlCqVPF/evCkxZ46RK1ckevRwMGGCgiQVw24vyNGjD+naNYQDB4Sq88SJp3j7bcibNw+3bvmybJmRPXt0VKyo8t57DsaN89yW01tZqZzixRcVZs0yMmAAmTbqZUQEVRVkOfPneeCAjpo1U4+d3bt11KuX/efqbUTw4UM4elTH6NEZO8zkBnJqe5cdhISE0KJFC5o3b07evHn56aefuHz5Mjt27GDBggXYbDbee+89Pvvss2z/hqIobNq0icTEROrVq8ehQ4dwOBw0aNDA/Zly5cpRpEgR/vzzz/+I4N8Fh8PB8ePHefDgQSpi4NqNOJ3OXCGCv/8u0bNn1gvrwYMydesmD/atW2Vat1bd55QR+dq9W6JXL+8X7ps3b3Ly5EmKFy9OyZIl3RPnunUyLVooGUqceEsE16+X8fGBxo2zTwLu3IEBA/QUKyZkHgYN0tGq1TmmTg1G04IYMkRPfDxMmuRMV5A6KSmJI0eOoNfrU/kFZ4b4eCHZoCjJWoM6neb+99hYAw5H9q/J11fck8aN1b/qnmQ6ddITEQHDhyssWeJk/XqZrl3FTvSddxSGD9cRHAyDB6dOB927d4+jR49SuHBhypQpkyVJlSSJl14yUbeuxvjxZTl5sgz9+9/Ebr/H6dOnsdvtyLLM9evXM7Uh8wSlSmmsXCnIYK9edl56ybvFKzuktEkTEd1r2dKHzz6zehU1qVlTZfp0K507m5k500rp0hpmM4wefYGFC0sxfbqRgQOzV19nMsHcuTbmzBFRy+nTbVm6dmSEjIjOvn06Jk828vbbomM3N4Iru3frmD3bSI0aCitWCALYvbuZ8HCNceOSuHTpGEWLPguI7trZs43Exkr06mWndm0xRjRN6P69914odnseatRQ+N//Eihc+CG3bolsyI8/aoSF3efttxNYvNhIWFiI13Ow6335u8iELMOrrzrZtk3PW2+ln6bNjJjGxkpZ1uwePKhjzJjUXbqrVhmYNCn7nbveEq7Vqw20afP4a34fV2rYE9jtdux2O6VLl+aFF16gffv2qKrK0aNHiYqKytYxjx8/Tr169bBarfj7+7NlyxYqVKhAZGQkRqMxTUAif/783L59O8fX8q8lgn+nluD9+/eJjIzE39+f+vXrpypOdWkr5YZWnstNxJPJ/uBBiRYtkifNEydkKlVS3OeUXkTwzh1RLO9Nba2qqpw5c4Zbt25RrVo18qbQtFEUkVb95puMw//eEMHjxyW+/FJm48bsiw1/843M4sU66tRRmTxZT3CwxsGDdm7dusyyZfXYvdvAiBFO6tdPf7F3NcCIesDU3sjx8cI/+dw5iagoiZs3RUoeRPQuIkIIyzqdKf8RzSbx8aHcvBlAYKAenQ6KFtUoWVKjVCnxv8WKpa3pyQhGYzIpPH5cYvZsITPTsaPKw4c2Nm2S6dBBEMJmzRRGj9Zz//5TFCwIAQGXuXDhQrZ0Ln19hTfq3r06+vYtzJgx+ahfX+H69etcvXrVbUPm4+OTyobM24k6LExj7VoLPXuauXlTolWrxy8+Xb++wqRJNndksFAhz8lg6dIay5ZZ6dpVdEC7BIUHD77Fli0BDB1q4pNPbNlqzpIk6NtXeB27mki8Te+lR45v3hRyMIGBGitW5I67yaFDMtOmGSlTRmXpUgtRUTK9ewsCOG2ajYIFNRwOlUuX4MwZHfPmmVEU6NfPTqVKYo6wWGDZMgMffSTSv3362Bk40EZIiNDjnDIlD8eP56VJEydbtlhxOuOJiUnkypUoTp+2EBgY6H73Mur0TO/e/J3rScuWDrp3N2dCBDMmprdupa8P6IKqimebspnk1i0JTSPDGklP4E1E0OEQDT5ff537AtKP4u9IDWeExMREgFRScbIs89RTT/HUU09l65hly5YlMjKS+/fv8+WXX9K2bVt+++23XDnfzPCvJYJ/BzRNIyoqirNnz1KyZEmKFy+e7oSRVZeup/DGTeTUKYny5cXAPnlSolKl5HRIRufzww8yb7zhOWG1Wq0cOXIETdOoV69emu6ob76RadRIzZS4ekoE4+Nh0CA9a9Y4sqVtaLNBv37ii5oGkyfr6dfPydixCrt2yYwZU5P27VW+/daR7oKcXj2g0wn790vs3Clz8KCEvz88/7xKrVoq776rUagQHteV3bwZQ1RUFHXq1MHhgGvXxMJ28aLEjh0yFy5I+PoKGZcXXlCpUMGzOs7KlTUWLHASHS3sAmfNMvD22wrR0TZ++EGmTRtxgs89JzF4sEJwsJlp0+pQsGD2pTJcqb5+/cw884zCO+/4YjAYqF69Ok6nk7i4OGJiYjhz5gwOh8PdbZcnTx6PO+x8fGDZMiujR5uYMEHmo4+y37XqKSpWFAX9XbsKXcCU3alZITxcY/XqZGmaggWTax8//1xP165m5s2zZjui16iRQpEigqhOnWqjQgXPx3HKCJPFAnPnGjl4UMfo0TY3AcsJzpyR+eQTIyEhGjNn2oiPlxg40ExgoLBSS9kle+SIzPTpNShe3MygQTZKlxZ/u3VLYsgQE998I97XFSssNGniRNOEZ/DatXqCg6F9e3uK1K8OyOPu4EzZ6RkVFYUkSYSEhLhFrdOL7P/dEUEQjWKalvHLnFnzyrFjmfsM794ttBBTYvVqA23b5qxWzxsiuGqVgWbNnI/Vps+FJ5EadiEhIQEgV3UEjUYjpUqVAqBGjRocOHCA2bNn06JFC+x2O/Hx8amignfu3CE8PDzHv/sfEcwATqeTkydPEhsbS40aNTL1E9TpdO5awZzAUzcRVRVkx0WYvv1W5s03s9bu27FDZvFiz84zJiaGo0ePki9fPsqXL59m16VpQsNw48bMJxhPuoZVFXr00DN+vJN8metgpwurVcjMvPCCSt++BkJCNH75xU7lyhqdO+spUUJj3LhjVK9eBllOm7ZMWQ9YvXptfv01hGHDZB4+FA4fDRqoDB+u5Uh8O+UzMRigZEkoWVKjYcPkRfLhQ9HRvWaNzKlTQn/r2WdV3ngjayHpsDBRE9i/v8KWLTLvvmugRQuFBw9sbN7spF070dX+3nv+dO6sp00bhQ8/TF1L5U0dY0iI6PadM8fIoEFhtG17CRA2ZHnz5iVv3rxuNf+YmBiio6O5cOGCW3rBE9FWWYYJE2wsXWqge3czc+ZYM41m50ZUp2RJjSVLBBmcPNk7ohQUBKtXW+jRw0yFCmE0ayYiIq1aOcmTR6NtWzNLl1q91n90oWLF5CaSTp3sbvFiT6Bp8OWXelauFAX8gwfnnFhfvSoxZYoJVYXRo20oCnz8sQm9Xvx3SgeXPXt0zJ9vIH9+J23b7ue99+ogyzLnz0u8/74P58/rKF1a4c8/E6lYUeX2bYnp00Xt3yuvOJk3L2sZo5Sdnqqq8vDhQ2JiYrhx4wanT5/Gz88vldNJyhKaf5JblaJkTEx//FHP3LnWDL/7aArY6RT3fvDgnNXqeRp5i4mR+O47PV999fijgfBkU8NJSUn4+vo+ViKqqio2m40aNWpgMBj4+eefeffddwE4e/Ys165do169ejn+nX8tEXycA/fhw4dERkZiMpk8qhHLjYigwwH373vmJnLunETZssmT7N69MkOGJP++S+Q6JRITxaSQkaCpC5qmcfnyZS5evEi5cuUylMX56SeJunXVLIvrPSGCU6fqePFFldq1vU9dWK3Qtq2e557T6NvXQN26Kt995yA6Gpo3NzBypJOnn9bYsyd9kW1XPaDdbuT48eeZMsXEW2+pzJ3rzFXPX09IVkBAyq5hhdhYITA9YoToGn7nHZW331Yz9Vg2GESDyTvvqKxaJfP66xIvvHCWzZtvcPLki4wa5U9wsMauXTKbNgkNysqVs5cykmWR1vvhh0Q+/rgqBQumjlakVPMvUqQITqeT+Ph4YmJiOHfuHHa7neDg4FTRwvTGdefODiIihA7b4sWWXPdifhQFC4o6xQ4dzIwY4Z3Ytdks7Oc6dfLHavVj5Ejx/zdqpBAaqtGqlQ/LllnJmzd799zVRDJggGgi6d076zqsEyd8WbGiCK+9JvHVV5ZsRyVduHtXYto0I3fvSgwZYsfXV2PaNBNOJwwenBzlczWMLF5spEIFhVmzbAQGWti718KRIzrefNOPxESJ11938MMPFvLl0/j9dx0dOphRVWjbVhDW7Kyzsiy7Oz1dgsGuaKHLdzYkJITArCbExwRJSv/5JyS43D/SXvTDh4IkZtS3ll4KeMcOHQ0bOnOsGetp5G3cOCMffWT7W6KB8GRTwwkJCfj5+eUaFxk+fDiNGjWiSJEiPHz4kHXr1vHrr7+yfft2goKC6NixIwMGDCA0NJTAwEB69+5NvXr1ctwoAv9iIvi4cOPGDU6dOkWxYsUoVaqURw85N4jgH3947iZy4IBEzZris1FRYuCnjFal1yzy008yDRtmvqA5nU6OHz/O/fv3qV27NkFBQRl+duFCHUuXZh1dlGU5DSlNiZ07Ja5ckRg61Pv7Z7EIEli3rsbAgXpefVVh82Yne/dKTJqkZ+FCB8WKic+mV8cZHR3Nrl1n2LWrIteu5aVdO0Eic8N271Fkp2s4NBSaNFFp0kTl/n3YskWmdWs9YWHw4YcKzz2XsV2UwQCvv36d/PlPs3dvTSZMiGD0aCfXrtno2lXP55/reOkllfHjdRQtqvHRR06yq4tat66NIUPOMHLkM7Ro4aBZs/TfC71eT1hYGGFhYam8P2NiYrh06RJGozFVtDBl4X+jRgr589to21YQqfR02CB37NRA+CKvWWOhUycfunXzrmlFp4MBAy6zcmXJVDqFdeqofPKJjfbtzV57HqeEyQTz5tmYO9dA794mZsxIv4nk5k2J8eNNJCXlZfz469SokTOt0/h4mDPHyMmTOgYOFDV/06cbiY8XhNCVrk4pGVO3rsKSJRa3xMuPPxpo0aIxAB072hkzxoavL3z1lZ716w3UqqUwYYItW/JB6UFVRRPX9etmoqIKceNGYaKiJKKiVKxWB3a7DQhj7txEgoIMFC+u44039FSvLueYPGWG9FLDcXFw6ZLMm28mpLvu7Nihz9TtJ70U8Nq1BubMyTiC6Ck8SQ0fPCijaaSxtntc0DTtiaaGc9te7u7du7Rp04Zbt24RFBRElSpV2L59Ow0bNgRg5syZyLLMu+++m0pQOjfwHxH8C4qicPr0ae7cuZOmKSIr5AYR3LdP5oUXPBtABw/K9OsnFtvvvpN5++3U30svCrd1q8zYsRkTN5c0jI+PT5qGmLTnKlG6tJDKyAqZdTDb7TB9up6vv/a+uywpCdq00VOjhsaIEXqaNFFYu9bJ6tUyP/8ss2mTI1W0MqWgs6ZpnDhxjbFjDTiddRg40Mgzz3jvYewNctpQFBQE7dqptGuncuWKaNKZMkXm1VdVOnVKbeieUiS6bt2qvPVWEFu27Gb79qdZuVLP9OlOhg1TePFFA6oq06mTwvvvG+jeXeW117wvcZAkidBQG+vXWxg3zsj//mdi0qTMdfke9f5UFMUdLbxw4QJWq5Xg4GA3MfTz86N6dZVp02x06GBm4cLsOXh4g8BAWLXKQteuZhISJN5+2/N7I0nQp89dvvkmkOHDxf2QZShfPtnzeOJEG1WqZO+dEMcXTSQffujD4sXJTSRJSYKwHTmiY+RIG7J8OUcLVmIiLF5sZPduHX372unSxcGMGUZu35YYNCjZCzglAXzmGVFHGhgoyNgXX+jp1EmUZbRseZqZMyOw2WDlSgM//6ynSRMnGzbkXLz64UPRNbt/v44jR2SuXZOxWiWsVnFfZFnUc4aHy/j66jGZjNy7F094uB/58z8gKSmOmTP13L4dQoEC0L69k5deMv8tqeP9+4XtXZUqD9IlN99/r8/Qsze9FPCVKxKBgXg0T2cFVVUz1cZTVZgwwcSyZTknnd6cE/BEm0VyMyKYldyM2Wxm/vz5zJ8/P1d+LyX+tUQwNwdmYmIikZGR6HQ6nn76acxms1ffzw0ieOOGEAb2BFeu4I50/fSTzJo1qReoR8mX0ynSOYUKpX+8W7duceLECY+joHPm6Jg2zbNFMbNmkRUrZFq1Sl+IOjMkJgoSWLGixtixelq0UFi61MmwYTp8fWH16rSpENd5KIrC8uXXWLYsL2PGyDRqZCAjA/ncREoimlMUKwbDhikMGaLw7bcy779voE4dlR49FAIDheB3UlISdevWdXe0BQU5GTMmgZgYHUOG6KlXTyMuzs6yZToGDtRTpIjG+vUGtm/XM3GiLdP0c0bQ62HcODvffKOndWvRfZtJUDkVdDqdW5cQSBMtNBgM7r/PmpWHbt38mDPHu4aO7MDHBz77zEqvXmaSkuD9970jyn36OFi5UkTuZs+2odeL7vKVK0W0ccAAO88+m/25I2UTyZQpNk6dklm9OrUt3MmT2Zsv7XZB1LZu1dO5s4PWrR3MmmVk6VKJ/v3t7siPaOgQBLB+fYXVq4XAtsMB8+YZGDFCzKdz51p55514fvzxBmPHluTCBZn27e307m3JdvQtKQl++03Hjh16Dh7UcfSoIAXBwRpPPaVQq5ZC6dIqpUurlCmjUqiQ6Ox33Y7ExET27z9IkSIvcPx4CMeO5SExUaJSpQReeCGK+fND2bDhPj17xpAvn2g8yQ03ifRKyvftE97n5cs/RJZTD0CLBRISMhaE3rFD1FKmvI8rVxpo1y53dPyySsGuXm3g9ded2Raszu45wZMngv8f8K8lgrmF27dvc+LECSIiIihTpky2wsx6vT7HRPDOHfCk+cdmE6khSRKpBKORNCm9RyOCe/ZI1K+floypqsrZs2e5ceMGVatWdfssZoaTJyWCg8mQVD6KjIhgYiJ8/bWO777zrpvN6RTp4KpVNSZNEk0PCxc66dhRz2uvqbz/fvqkU5ZlYmLs9O8fi14fwLZtBkJDc88eKCvklsRQSsiySB03bqzy888SHTtK+PrG0qqVgYYN66bawbtS0yVKwKZNTtaulXnnHQMTJzq5dMnGm28a+PprA23a2GnRwoexY23UqOHZ+T6a9m7cWHirtm6dsbdqVvD19cXX15eIiAh3tDA2NpaLFy9isZygT5+8dOtWmcmTrdSoYUKSpMcWtTEYYMECK/36iTo4T+VsXOfTrp2DgABhSbd4segczpNHeB537WomNlaicePsN5tVrKjSs6edevX8ePZZoQeYkqt4K5isKLBxo5516wx88IGDFSuszJ9v4PPPDfTrZ3d3pWoa7NypY+FCkQJetUoQwKQkGDXKxOzZIquwYUMSjRopHDki07dvINHR5fn4Y0ca0WNPcfeuxI8/6lm/Xs+ePWIJK1lSpU4dhW7d7NSrp+BwSJw6JXP3rsS9exLbtulZvVrC4ZCQJAgM1MiTR8PfX8Nkyk+9eholSzpp0kT8xp49ZmbOrEidOk7y5Uti2LBwBgw4isFwFl9fX0JDQwkNDc2WPJLNBgZD2jFx/LiOEiVUjEZnmnXol1/0vPxyxu/Ioylg4UOv4+OPc48IZrQ2xsbCli16Nm/+expEXHCtcU+ya/g/Ivgvh0sf7+bNm1SuXDlHxs3Z9dNNCUXxTEfu2DGJKlXEJPLjjzKvvZZ2Mn00QvnddzLt26f+nNVqJTIyEkVRqF+/vseyHnPm6Bg82PNrzYgIzpuno0ePjIWoM8LkyTrq1xfp4PbtFRYscDJqlI7nnsuYBALs2+fH6tVh9OoVR6tWEX/75PE4LRElCapVu0evXpHExpbh88+rs2MHjBrldKeFUv6+JEGrViqvvKIybJie/Pk1du+2s2QJjBhhpnp1halThdfsgAH2LGsm0yMZtWqpzJljpUcPM+PG2XjqqeyT4JTRwtKlS2OxWIiJiWHkyJMMGFCCdu2OU6+eAT8/v8d2j3U6mD3bxsCBJhwOifbtvdvAvPuuE39/0Tn82WdW/PyEK9CKFYJgRkdLdOzovcTHjRuiDtDHR+P06QQmTzayaJGBPn2Syy08vSeaJtKPS5YYeOMNJytXWlmyxECXLgb69LEzerT9L+vFZNeQ2rWFaHRwsGh06NfPxPLlggDu3JlIrVoq27fraN7chxIlVAYNiiMmJpKaNZ/z6jrPn5f49lsD69bpOX9eTBqNGolu4rx5VeLiJCIjdWzZYuCbbwyULq1SoYJCqVIq9epp5M0riJ/RKNKYDx6IDtdr12xs2+ZH69Y+BAdrNGvm4NVXFZ5+WqF+fQtr1hg4c8afTz5xsHhxHebMeZhGHsmThqeUiIyUqVbt0fkYLl6Uee01Z7qka+tWPaNHp58Wvnw5bQr4iy/0vPNO7pW7ZFaLN2GCieHD7X9bg8ij5/SkOr4TExNTaQj+m/GvJYI5efgWi4XIyEg0TfOKBGWE3NIR9AQHD0rUqiUm9mPHJNq2TZ8IusiXpgnvyfLlk88vNjaWyMhIwsLCqFixosc7WkWB27fxyL/ThfSIYEyMkEkZMsS7hW/vXokLFyR275apVEllwQInK1eKyalDh/SJhqpqDBv2kHPngpk9+wr16lX26jdzC7mZGk4JTdO4evUq58+fp0KFChQqVIjmzUXDTJs2Bl5/XaVLF8X92ZTIlw+WL3fy449CbmbIEBv79yfwzDN+HD4sUaiQSosWPsyYYaVYsczPPb1rK1ZMaOt16+ZD27Z2Xn89d8aIj48PERERRETA11+rtG1bHX//axQufBVFUTh06JCbOPr7++faQiHLMGOGjSFDTH8RJO/e31dfVQgIgNatffjsM9H9bDCIxo8xY4ypGkuyQlISzJ5tJDJSx6hRyTI3c+em30SS1T349VfhBvLMMwrLlllZs8ZAp05mevSwu88pJQGsWTOZAD54AN27m1m71oCfn8bevYmUK6fy5Zd6Jk408eKLomEkJAQePHASG+vZ84iJkfjqKz1z5hi5dk1Gr9d4/30nw4fbcTrht9/0bNmip3x5lerVFbp0sVOihGigSkyE6GiJ6GiJ27cl4uIkQkM1QkM1QkI0goNF+jgszIbReI2nny7M7dsSS5YY3LV4ZjO0aeNgzBgjJ0/KmM0ahw+bqFMnH/ny5Uu34clgMLhJYUhISLp1dfv2pbV7O3xYx717Ei++mJYIukhrRg00K1caaN8+OfKXmAhffGHI1QhdRhHByEhRg1m37t+z/j16Tk8qLQyifOU/Ivgvxd27dzl+/DgFChSgbNmyufIi5ZQIWixCdsITHDgg8957IkVw9Wr6dYUpI5QnTkhUrqz+NZEniyaXLVuWwoULe7VIHjokUb26d2QmvWjpjBk6Bg3ybrd6/z6MHSts427dkjhwwM6uXRK7dsmsXJl+ysThcNKt231MpgQ++uiuu/7sSeBxRARVVeXkyZNER0en8UOuX19j61YHa9bIvPWWgVdeyZuhTMxrr6nUr68wYICBiAiV69cTGDHCxLJlRpo2ddCnj5m+fe28/HL673hm71BICKxZY6F/fxNXr8p07567JvShoTLr1zvp1KkEbduG4eOzl/DwcGJiYrh69So6nc69MIeGhmbLDD4lZBmmTbMxYoSJefMM9OqV/vVk9Kzr11cYPdpGu3Y+LF0qup8lCcaOtTNvnoEBA4SVXEbTkqrCpk161qwx0KOHnWHDUhPHR5tIFi2yZvreHTggM326ifLlFRYssPLllyKF3bWrgwEDkgngzz/rmD9f2Ma5SGx8PHTsaGbTJqHd+b//JVKihMratQaGDzfRuLGTL76wpJrbskpT22xCK2/mTCOHD4ub0L69ndKlVe7flzh8WMf33+t56SUno0bZMJs1jh3TceyYzA8/mHjwQEKWwddXIyxMRAJDQzVsNmHPFhcnyOHDhxK1aik895wOWRbnEx6uMXq0ne3bdbRokfx8Ro2y07y5D5Mm2Rg1ysQXX1j+utdpG57u379PTEwMly9f5uTJkwQEBKRyOpFlmQMHdHTqlPq9+fxzA4GBGi+/rBAZmfoeLV1qTEX0UuLBA+HpO2ZM8t/nzjXSvbvdY7F7T5AeEVRVGD/exMKFf1+DSEo8yY5h+K9G8F8JVVU5f/48165dy5a9VmbQ6/XYbNn3cbx5E48trWJihHgwCAKZXjAzZUTQJTbtdDo5ceIE8fHxaUiDp/jpJ5kGDbxL8T3auHL9Oly8KPHcc96RooED9Tz9tMqkSXq+/97OvXsSM2fq+eKL9J1CHj5MokOHREqWtDB2bDhnz97P9Ro9b5DbNYI2my2V60t6DU6yDG3bCk3B3r1D6Nw5hGnThJj1owgIEHVwa9fqadPGh9mzrTRr5uS113wpWlRl2TIDJ0+mr1uXFck1GkXUa+pUIx99ZGLCBFuudmj7+4sUa6tWfrz4Yh5eeCFZVNi1MF+5coVTp055bUGWHiQJJk2y8fHHRmbNMtKvn3d1WNWqie7njh3NzJ9vdW/mevVysGGDni5dzCxYkNaFZP9+mU8+MfHSS6IOMDNx7UaNFIoWFVI1HTv6UqtW6us8dUpm6lQjYWEaU6da2bZN/G779g6+/lo0b7j8fufNM/LUU8kEMC4OWrc28803BvLnVzl0KIGCBTVWrDAwZIiJ9993sHmzJV0ikh4R1DRhT7d0qZH168WXXn/dwfTpDm7dEuQvOFjj9deddOrkYPduHb/8oufrrwUBrVpVoVo1lcaNncTESNy5I7mtHR0OkdYvVUo0i7ga01RVkOAvv/QlMrI6K1dK7jn41VeFVNH48UbmzhWkvFkzB0eOyMiylmEZj2vT4TIfsNlsxMTEEBsby/Xr1wEICgohPr4KOp0VEGM2JkbUZI4aJdKrKUlXYqJwCxkwIP13bOZMI336JG8Gbt8W92vo0NypDXQhvejb+vWibjEjKafHjScpJg2iRvC/iOC/CFarlaNHj+JwOKhXr16uP7ycRgSjoiQiIrL+3P37qQWhM1rDUkbhDh6U6NXrIX/+ecQtkJ2ZNExmOHBAYvBg7yOCKQnQ5Ml6hg/37l6tXy9jMMCkSXq6dVOoVEmjTRsDq1c70u04vnUrmo4dNV54QWHQIFEP+LhSs54iN3///v37HD58mDx58niU2g8MhE6dLmI2mxkyJB8NG6p06aKmS6A/+MBOzZoqXbqIKOCZMwk8+6wv339vICxMo1s3MzNnWtNsQLK6NkmCoUPtLF0qol4zZmTPezcj+PjAokX3adGiJDVr6qhbV0QLQkJCCAkJoVSpUu6FOSYmhmvXriHLcqpooTfjwhXFmzDByPTpRgYNSrvwZkYyy5RRmTdP1FB++qmNMmXEGHn/fSfBwRrt2gkXEn9/uH5d1AH6+grXE087MytUUFm50sqHHxYlISGR1q1FPdmUKSYkCT76yMYff+jp2dNMq1aCALpepT/+EKniypUVli4VOoAxMdC8uQ8//qincGGVyMgEQkM1liwRDiAuEpnZ65iSCCYmwpdfiuhhQoL0Vw2hcCg5elTHxYsyTZo4efllhV9+0TFliomQEI3nnlN4+20HV67IHDmi4/ff9fz+u2gAKVlSJTxcw2jU0OlEJ7vdDt98o+f8eZnERIly5VR69LBTp45KyZKx/PbbLXr0qE2PHna3Tl+1aip2u8SZMzLlyqk0aKAwYoSJQoU0oqKkLEslAEwmEwULFqRgwYJomsbDhw/ZvTuJAgVi+fPPSHx8fMiTJw+bNhUDoHVrESVMSQSXLzfQoUP68lpRURLnzsmpGkJEeUHubrQgbfQtPh42bszd9LO3eNKp4cTERI8aLP8N+NcSQU938tHR0Rw7doywsDBq1qz5WF6cnDaL3LgheRQRPHQoWUg6IYEMJT5SRuHsdhv79/9JkSJFKF26dLZD6ffvi+ijt+mGlETw3DmJpCSoVs1zQnT5Mnz+uY5bt4TsxtSpTlq31vPpp04e7e/RNI2zZ6/Qs2cgLVvq6NAhWQvSU8/j3ICqiokyNlbCbgeTSeP6dT379+fj6lWZq1clHA5xL/V68b/h4RqlS2uUKqVRoEDGJP/mzZucPHmSUqVKUaxYMY/HgSRJFC3qZNMmJ4sXyzRvLu5hkSJpP1u2rMoXX1gYPtzEH39oHDuWSKdOZlatMtK1q50PPvBh7tzkSJY3UbXOnR2sXaunVy9hGZeb4t2+vhqDBx9h6tSGDBtmo3bt1M875cKsqioPHjxwk8LTp0+nSuMFBgZmeV2SBCNH2hk/3sicOaJBwxsULarx2WdWOnc2M368za3H99prCkFB8O67PlSurHL9usSoUXYqVvT+/Q0L05g48TTjxlWlZ09/mjZ1MHCgnWPHZPr3N9OihSBvruewb5+OmTONlC2rsGiRlTx5NKKjJRo3NrNrl56SJVWOH0/A1xfmzzdw4oSOLl3sHlvWCf92fzp3NrNxo5hM2re3ExAAp0/LxMRINGni5IUXFL7+Ws/UqaIhJTRUo1YthaNHZb77Tk/lygp16yo0b+7wWidv/36ZkSNN+PtrDBkCRYpY+eILCy1b+lCpktU9Fw8fbmPKFJH6zJtXIzZW4qmnFC5dkilWzLv5XpIkAgMD2b49L0OG2ClW7Bni4uK4dy+W5ct9ePbZ61y7dpnExDw4nU4kScJigZ9+0rNlS/pka+JEEx99lEwCT56UcTikHDVmZYRHU8OTJ5sYOjTrRrLHiSedGk5KSvovNfxPQGYpKU3TuHjxIpcvX6Z8+fJEeBJyyyZyKh9z44bEs89mPXgPHpR5+mnxuatXJYoWTf/aXRHKI0fOYbfnoUqVKjnqigb49VfPBa9TIiUBW7DAu45jgKFD9VSrpvLzz3qOHbPz448ylSppVKyY+tpdqe8JEwrQpYsvLVqkDhU+DiJ4755IaR08KHHsmITrFZAkkZLav18mLs61OpqAOsiyRkSEIC2FC4vGm5IlNXx8xLE2bJC4fVuQyerVNV56SVjvGQzJItHeCp6LcxLnIcvQvbtKw4YavXoZePddhTZt0t4XHx+YNcvGpk162rcX1m7r1ysMG2amaVMHvXqZGTrUztNPp9+IkhlatnRiMkHXrkIYOpsB6nTh4+Nk5UoLbdr4MHq0jerVM5YTCg4OJjg4mJIlS2Kz2dxF/9evX/9LJDvUTQwzihZKEowaZWfUKBMLFxq8roHMnz9ZU3DwYCF9oqpifJ89K/Pnn3pOn07wuHTkUcTFwfLlRdDpNJo0cbBtm56bNyWaN0+dXj5wQGbmTCPFimnMnStq46KjJd5+24dff9VToYLCqVMJ6HQwa5aRqCiJHj0cfPyxZwTQbofvvtMzYkQhbt4sSpEiKgMH2rhzR+bOHYn69Z289JKT777TM3u2kWrVFIoW1bBaNQ4c0FG7tsJLLzkZMEDNsUVe7doqtWtb2b1bR58++Rg06BomE4wbZ2PMGBNLl4qat2LFNGJiki9Or4egII0HD7IXbouLg3v3pL8s+Azky5ePQ4cKcPeuD4MH+xAWFkZsbCw2m41Tp07xyy8VeestE4piRJZT78APHxbNKy43F4CJE40ZCk7nFCmjbydOyMTHS+6x/6TwpFPDiYmJBGTXOPwfhn81EcwIdrudo0ePYrFYqFu37mN/WDlNDXsaETxyRKJnT/G5zIigwyEWo5MnE6lWrRT58+d817Rzp8zAgd5rnSULOcOFCxIVKni+oO3bJxEeDjNm6Jkxw0lEhEbv3sKJJCWSkpI4fPgwv/5akDJl8tOiRdpj5UaNnqZBZKTEunUyZ87I5M2rUauWkGEZNEjDbBYRzMmT9SQmwsyZTl55RSU0VNQL7dq1i1deeQVZlnE6RZru9Gnxz59/yiQkQM2aGq1bqzz1lMaxYxK//CIzYwZYrfE8/bRG9+51yZPH+9KGRzdNpUppbNniYOZMHS1b6pk925Gu+PN77zkpWVJoAs6ebeWpp5J49VVfqlZVmDHDSEyMg5df9n5hbNbMiY+PaDZYutTqcbOUJwgMhJUrLbRt68P48Z65d5hMJgoUKECBAgVQVZWHDx+6SaErWujqRHYV/bsgSTB+vI2hQ03uVJ43xDg0FFavttCxow+7dyvs26fj5ZednDuXyPXrEl27inS8y8PXEyQkwKJFImX7+uuX0etltmzxoW5dBUURWo9GIxw5IjNjhpECBTQ+/dRGeLhGTIyIRu7cKQjg6dOCAH76qZGbNyX69bN7rAEYGwtLlhiZNEmwtwYNEqlR4xYJCQVQVXj3XQd79uhYu9ZAhQqC5Pn6apw/L/Pyywoff5x7dnOP4rnnFGJi7jNzZlmeeYa/fl/j8mUpQ/u/y5dl3nore5qPa9caaN069XeXLBH1l08/bQIKU7hwYX7//XcKFSrB7t2hTJiwn99/T3DXtoaGhhIQEMjkyT7Mm5fcpPHTTzrKlVOJiHg898oVEdQ0GDvWlCu2dblxTk+aCP4XEfyHIi4ujsjISEJCQnjqqadS+ZU+LuSUCN66BQUKZP25pKTkdPDVq6TrqhAXF8eRI0cA8PevTJkyeiDnBOjKFYnixb3/rittvnevRL163p3HrFk6N9nt0kVh4kQdffqkdiKJjo7m6NGj2GzFOXCgDF99lf4kLcuymyB7i+vXYd06Hb/9JlOlikqbNiqVK6d+3vHxMGyYnuhoGD5cSROxdEXkXARBr4fSpUU6+O23xWecTpH+/+knmSlThDbYO+8kUbfuflTVnzNnqtKunZGSJTXatFG86uBOL3qu08GgQQpHj0q0amVg3DjFnZ5MierVVRYvFvVsQ4faOX48gcqV/QkPV9mwQc/Nmz6UK+f9AvTGG05MJlEP59LWyy0EB8OKFRbatfNhyhQb5ct7/u7JskxQUBBBQUGUKFECu93uLvo/duwYmqalqi00mUTN3ZQpNgYMMLFmjZ6qVb0739u3JYxGjYkTTSxYYHGLVpcoobFsmZUuXYQe46P6c4/CZoMVK4QESteuDipUUJg2rTAvveRk/XoLfn6iUaRmTT/y5VN59lmFKVNsFCqkERsLH3xg5vvvDZQqpXLyZAIGg2hIuHFDom9fu8c+shcvSowda+Lrr0Ukq21bOw8fSjx8CJUq3adIkTC+/dbAjRsy+fMLSZcbN4Sw9kcfOfm7avDr1k1iw4ZAN/mrVUvl1CkdxYuL+280alityaoOly7JFC/u/XyqqrB9u56vv05O8164IPHzz3oWLkyd+tU0jW3bwunQQU+9erXd0erY2FiOHz/On3/mo3DhfDidSVgsoRiNPsyZY2Tt2sdXr+cigl98oefZZ50UKPDk6q1deNKp4f90BP8hSLm4pZRGKVOmDEWKFPnbhCZzSgSdzqxr727cgJSNzlevSrz8cvJg1DSNa9euce7cOUqXLs2ZM2e4dk2mfPmcD9iLFyWvtANTQqfToWkaX30l062b5xPokSMSAQEwe7aeuXMdXLsGZ89KjBmTnIq8fPkyFy9epHjxivTuXZTPPnNkWLOSndRwdDR88omOmzclOnZUGDgwfQHs8+clevfWM3q0k/r1079Prgkrs12sXg916mjUqSOu8dSpWObNi+fkydrUr2+mbVuNHj0cnDwpsXKlzPjxEr16Kbz0kpZlei6zMoqqVTXWrXPQrZuRV1+VaNMm7btcqJDG2rUWevQw89prTi5dSqBmTV927BB+rZGRpXn++YxrGzNCgwYKJpOIDK5cmbPI4KPjPTRU2MO1by+6cD21cHwURqPRHS3UNM1dW3jjxg1Onz6Nv7+/O1o4bVog/fv7cPt2Xo/s6G7ckJg61UhiosTo0TY++8xKt25mfHyECDWI+tFVq0TEsH//9C3pFAU2bNCzfr2Bli0d9O5tZ+FCI/XqKYwff5KSJfPh51eA06dlpk838uyzTi5cEFE3Pz8hdL1li4GiRVWOHUv4qzTAyLVrggA+Wm+ZHjQN/vxTx8CBJk6e1FGkiEqXLnauXpUxmeDll53s2OHkp58KULq0Hj8/jbg4idq1Ffr3/3vtyVxQVZW33rrNqlXlGTPGTrlyCr//rueNN8TfrVYJk0mUeoCweUvZsOcpfvpJxwsvpJ4/Jk82ERqquuXAXLDbNb7/3odvvhH1fymj1Xa7xqRJRj799AK3b0dz7tw5fv21FHXr+mGzqfj6huR6lEzTNFRVJTFRRG6/+urJNYikxJNMDbs0JP+LCP6D4HA4OH78OA8ePKB27doEeWpwmkvIKRH0ZPE8f15KFXW5dk1yW3c5nU5OnjxJbGwsNWvWJCQkhLNnz3LlikSjRtk+LTd27pS8lo1xQRAw0SjiTdTo00917lRlmzYqbdromTRJTJgppXBq167NsGF5GDTISWaKQN4QwaQkmDtXx549MkOHOnn66YzP+5dfJGbM0PPZZw637V5srKgHSkoSzTFJSSBJOq5dC3BbCWYWqHaJRN+4cZ6PPqpAwYJGDh3SWLBAR1QUdO+uMHWqQmyscGiZNUume3eFRo3UDN+lrCReRHrSyqRJBvr31/PJJ7Y0tVgumZbRo01cvChz4kQiL77oy1df+fDaa2aGDDExZYr33cDPPqtgtYqawWXLrLmqf5Y3r8b8+SKauXKl5x23GUGSpDTRwpTRGk3T6NgxhAkTihEQ4KBbt/SPExMDs2aZuHRJYvBge6pI35IlVvr0MWOxJNvZufQYu3Qx8+CBxBtviP9fVYW918qVBt5+20n//nYWLBDpRpfg86FDTi5dMjJ6tBmjUWPUKBvFi4v6t+LFRUQjPFzlyJEEAgIEAbxyRRDAOnWyHjOKAl9/rad7dzNWqyB2rVo5uH5donBhlSpVVL79Vk98vIQk2VFViYIFVT780JHlBlPTxFx35IiO06dlDh3SceiQzIMHEjqdqHkNCdGoVEnlqacUnnpKoUEDxeN3SNM0KldO5NtvBaHIm1fj7t3Ug0iS4OBB3V9p8uxFoNasMTBzZnL9XmSkzKZNBtatSysD9P33RWnWzIbBkHYwr1hhpFUrjfLliwJFiY938sknZj799CTnzsVgs9lSOZ34+fnlOCDimjenTfNnwIDc1SfMCZ50ajghIeG/GsF/Cu7fv09kZCT+/v45kkbJCXJCBG02PCqWt1gkfH2TJ02rVRT0JyYmcuTIEQwGA/Xr13cbosuynIos5gS//SazdGn26mJkWeb06VDq1vX8+ydPiolr2TIdM2c62LlTpmJFjZIlk+sBjUYj9evX54cfzOTLp6WKjqYHTwWd9+yRGDdOT48eCkOGpC/b4MKpUxJDhuhp21Zl2jQ9166JhSskRHRr+viITmtfX3A4JA4eLMyBA0bu39e5IwylSmlUqaJRrZpGhQoakpS+SHTNmho1azqJixNNN3PmyHTurDBqlMLDhwoLF+pYskTPuHGK24LQm+uXJAm9XuKjj2xs327ggw98WLDASnh42nTyxIk2FiwwMGaMiT/+SOKdd0z8+GMxevWy07WriL55u1g0bKiQlCTRq5f4fnbn9/SusWhRjSlTbHTqZObzzy25mnY0Go2Eh4cTHh7ulgiJiYmhZ89IZsyoTGLiJRo3VsmTJw9BQUEkJcksWGBk3z6hDffMM2nnDb0e5s2zMmiQicREia5dxcvisqTr1ctMXJxIfy9ZYuCVV5wMHCgigGXLKixZIrp9QUTzP/mkHD4+vowaZaN0aS2VE0hoqMo77zi5elWcl6sG0BMCaLMJgjNggAjjvvaaSPXb7cJp4vZtiZ9+0pMvn4aPj0ZiIjRqlEinTuepU6d6uscU5REyGzYYWLnSgKIkD8B8+VRq1lTo3t1BUJCGpgkiHB0tcfSojsWLjciyRoECGq1bO+jaNX2N0ZTQNA1Zltzj/OZNmYgIce0PHkBAgLiPv/yiw+GQaNDA+3n+8GGZPHk09yZE06BPHzPVqiluQu9CVJTGkSP5mDTJjmgwS8b9+/DDD6k9fefM8aV/f4WKFcuiaRoWi8Xd9HTlypVU2obeSiS5oKoqkZF5cTgkXnjhyTaIpISiKDkWiM8J/qsR/Ifg6tWrnDlzxmspjdxGToigSPlmTVAsFtJo5t25c4fjx48TERFBmTJlUtVL6HQ6bDbPHUsygt0uJvzsbnxkWWbv3kKMHu0APBu006fr3ESgfXuVFi30rFvn5N69exw7doyCBQtStmxZVFVm0SIdW7ZkXfuXVURQ00RNYmSkxKZNjkzTP8ePS2zYIDNjhp7XX1coUkTjrbcUihQhw4VH0zS2bz/F88/nxeevB6koYqE+elRi40aZo0c1IJ7atX3o1Kk+wcFp2yNDQuCjjwT5W7pUx5tvGujVS2HYMIWbN2H0aD0BAcJn+C9dW8A7Z5NGjRRKlbLSqVPGTQo9ejhYtcrAwIEmNm68z4cfWpk3rzC9e9vp3t3MokXeS8M0buwkIQEGDjQxc2buaqFVrKgydKidzp3NrFqVu53KLrgkQgIDA3nw4AGzZt3no49KEBBwk9KlT/P994U4dCiCDh3usXatCR+fjAeny85u1CgTM2ca6d9fpAkNBnjnHQctWviSJ4/K6tVWFi0ycP267O72BVHTO326EatV4v33T/LMM3nw88tP374mVqwwEhCgsW9fInnzasyebeSPP3T8+aeOI0cS05D/R5GQAIsXGxk7Vryf773nIClJzBEvvOBk714d336rx8dH2L1FRKi0beugRAmNW7cSuHUr9fHu3JHYtEnPpElCTxCEAPSECTbq1FGoVEn1aB5zOaDMm2dkyxY9x4/rspQoUlX1r7Eh/vvaNcndcHH8uM7dlXv4sA4/P42+fb3bEGsaTJpkYv785OaK777TExmp4/ffE9O84yNHmmnX7iB6fbU0x5o2zUT//smevocPy0RFyYweLd4NSZLw9fXF19eXiIiIVILq165d49SpU2kkkjypsbt3T2Pz5tJs324Dnswamx4URUlXSP/vgCs1/F+N4D8AkiRRo0YNt5L7k4KrDi4jP8bMIDqGs/5cShu6+/dVVPUhx44do3LlyoSHh2d4TjkduPv3S9Sunf2ooqZJXL/uT5kyTjwhghcuCEeATZt0TJ3q5NIl0R19584lLl686PbTBVi9Wubdd5V0RaUfRWZEMD4eevYUziUrVyrpEhBNE2ng+fN1FC0Kf/whsXWrnYYNPbs3kiSlIWM6HZQpo1GmjMYrr9znyJEjqGo+rl6twJAheiwWaN5cpXHjtJIZAQEwYIBC164K06bpWLVKz4QJCsuWOdmzRzR/tGun0Ly56v59bzpZS5cWGnddupgZMcKWboSobVsHZrOefv0C6N37T4oVy8/cuUZ69bLTs2f2InstWzpJTJQYNcrE+PG5Swbr1VP+etZmFi+25qqgdXowm3WsXAn585cFyjJ7dhzdu0cRHx/Dvn0P8PX1dS/KwcHBaeYOVzfyJ58YGT9e+ADPnWukVi2FbduSaNTIlzfe8OXMmQT3ZjIqSmLGDCP370sMGiS0B3//3cq4cXlZsyYAk0ljz55EChQQBPDcOZm+fe1MmGDj/HmJTp2EpmF6WnSxsTBzponZswWLbtHCQXy8RHCwxvPPq/z4o44fftBjMIiaunfecdKsmTPVu+sSlL59W2LlSoO7mxiEbl/Tpk7KlFG5fx/OnNFx4YLMzz8LyRubTehyGgxQpIhK8eIqL7+skD+/S89S1Jy++KKFgQNNXLggM22a8G/OCGLe1iHL4hiXLsm89poge5s36+nSxcG9e8K2zuEQqWNv8M03eurVSz5Hm028f++950jTmPXDDzqKFVMoUuRhmqDGgQMy9+4lR+QsFvj4YxMrV2Zcr5dSUF38duqmE1VVCQkJcTc9+aQzkWoaDB7sR/v2+/Dzq+HVtT9uPMnUsM1mw+l0/pca/iegaNGiOarNyy24XsbsdDF5Kh1jtYpUkM1m44cfzhMcHJqpS0piopHAQIWcPuKLF72r7XsU+/bJlC8fh6p6pnu3YYPsVu3v1Elh5EiZZ545zbVrN1PVf1qtsH69ju++86wTOCMieO8etG5tYNw4Z4aEd/t2mXnzdNSqpbJkiROHA+7e1XtMAl3IiIzdunWLEydOULJkSYoXL44kQfv2Th48gI0bZd5910DFiiodO6qUKZP6+35+MGaMwqVLIhpYpIjGsGEK33zjYPJkHR07Cumd7Hgd58+vuevS2rZ10KhR2rHWooUTg0Hj009rsHmzBYdDYt48YXvVp4+JuXO9rxns0sXBp58Kx47Bgz23yvIkI9CokUJsrMTw4aKe8XFBRKf8+eorHyZMsPLbb3pKljRRsmQxoBgOh4O4uDhiYmI4deoUiqIQEhLiJoauRVmS4PnnFV57zZdp02D79iSWLjVw65bEiRMJ/PCDEF0eONDOrFlGoqMlBgywU7WqSlISf3kiP48sa/z2WyJFimjMmWPgzBkdffrYGT8++ZmWLi2ed/fuZpo3d9K0qSBEd+5ITJhgZNUqQQDfeUcQwMKFVWrW1NzahIoi/dUF7uC559JuqBISYNWqYCZPLguAwaAxf76FJk2c3LsnsWuX8Bi+fVsiMTG5FCYwUKRVfX2F5ma+fKLL2G4X12exwOjRdsqVE+Nbp4OZM200aeLDrl06+vTJWHxfVVUuX/Z1d5UfOqRj2DA7DgdcvChTtqzK5MlGQkI0nn3Wu2ig1QrLlhn48stksrZkiYH4eIkJE1K/ewkJsGCBkc8/j+fwYVKtI0lJMG6cidWrk48zYYKJHj3sXolpp2w60TSNhIQEYmJiuHPnDufOncNsNrtJYXBwMHq9nuXLDVSvbqdUqQSvrv3vwJPsGk5MTAT4LyL4H5KRkgh6W7Nw44ZE3bpZ1+NYrRKK8pA//9xPdHQx6tcvmGmt0717fkREOMnpI755U3JPsNnB5s0yzz57G1X1bMbav18mMVH4fVqtSezfr/L++/FUq5a6/nPpUh3t23teFJ6ejmB8PLRta2D6dCeVKqUnxQNDhujJn1901bo2f5Mni9/2Fo+eg6Zpbv/rqlWrprErCgyEzp1VOndWOXxYYvp0ke4fOlRJo8dYogR8/rmTnTsl3nvPwPDhTkaPVti3T6JFCwPNmgXxyiveE/rAQNFE0quXmbt3Zdq2TUu833zTwcWL1+jUqSYrVlix22HOHCN9+9rp18/ErFnek8H+/e0MHWpi40Y9LVpkrz41I7Rs6SQqSs6WALQn+P13HePGVaBuXYV160RNYqdODtq29cFotFO3rpgn8uXLR758+dA0jcTERGJiYrh79y7nz5/Hx8eHmzcLs3ZtEcqWldm5M5GGDf149VVfDh1KcKfr33nHSb16vixfbmT79iTq1VOwWGDMGCOffiqibfPmHaROnTDWry/AqVOCAI4dmz7BDgmBzz+3MmKEid9+05GUJLFxowFfX4133xXRsSpVhD3hL7/o8PcXtXoFCmh0725LU0agabB3r44uXcxERclAAIMHn6dHj3AOHtSxY4eeFSuEPI2/v0ZAgIi6Va6sULy4SrFiggQajRoGA8TESERFyezYoePmTZl27RzUrq3Qr5+J1q2d7po7SYKWLR3MnGnkzz91Gdb2CTcif6pVU7lyRZBbvR527tTx0ktOrFZx/oCbGHuKRYuMtG/vcGdyoqMlPvpIRNgflV+ZPFmkfU2m5Ai+C+PGmejTx85fgT327tXx4AHpbsw8hSRJBAQEEBAQQLFixXA6ncTFxREbG8v58+exWq3Exxdg69ayLFhwh4sXn5xMS0Z4kl3DiYmJ7lT8/wf8q4ngk6oJfBSSJGXbZu7GDbKMCGqaxq1b8TidZ2ncuBgnT5b4S/A04+/dueNLoUJ2XMbm2cXNm1KOBF0vXpR4802LR/fm5k0IDdXYsUPHqlXRfPrpdRo1CqVmzZqpdn4PH8K2bbLH0UBI6/WbkABt2hgYPz59EvjjjzKzZukYO9ZJnTrJf1dV2L1bZuhQ7591ynNwOp0cPXqUxMRE6tatm+XOsnp1jSVLnFy8CNOmibRxeoSwYUONevUcDBumZ9s2jbFjFb76ykHbtnm5dEli0qSMu9QzGk9GIyxaZGXoUBNLlxro3Dntfa9R4y7ly9vo3t3MkiWCDM6ebaRfPxuDB5uYPt27NK8kweTJNtq3N1OokJZuU0V68DTqOXSonR49zGzbpuZoQU2JyEiZqVOFzuOoUecoWTIYf39RxuDrC8uXW2jd2odx41KLXEuShL+/P/7+/hQtWpRDhzSmTJEJDEykUaNjbNtWgKlTfdi69TaXLoUxY4YvY8bYmDfPyMWLEuvXW4iPl5gyxUi5cioLFogN044dSZQurTBiRBhffZWXQYMUxozJOsIaHS0RFye5LeDefltEAKtWVbFa4ddfdYSECMmiSpVUunVzuJtTXLh/H6ZPT04jt2rlYPDgJPbujWXr1kDq1/fDZhPEs0oVhQ8/VKhTR6F8edWD2lKFNm1EmnXKFCO//aZjzRorzZr5UKOG4q5xrFJFJSlJpKEzgqZp/O9/gbRrp7Bxo94tFr1hg4GxY2188YUBoxFefNHplc7lvXsSu3fr+Oqr5Ps9ZowRX1+NPn1SP4OjR0Xa9+WXFRITRXmRayzu3i02fw0binc0IUH4Ca9bl7sSLnq9nrx587odi+LikvjgAz+GDDnFuXN3UFWVU6dO5ajpJLfxJFPDrkaRfwoHySn+eTT/X4rsNowIopXx3xVF4fjx49y6FU/VqmUoVqwY165JFCuW+XHv3PGlYEHP02oZH0fInWQHqiqK3j2VbvnhBxk/PzGJ+/vv59ChMvTpkz9N+H/ZMh3duileRZlSnoPTCe3a6Rk61EmNGmmJw/TpOrZtk9myxZGKBIIg7iVLatmqL3OlZ5OSkti3bx+qqmaa3k8PJUvCokVORo92Mn26joEDddy/n/ozfJEIbgABAABJREFU/v4wb56T55/XaNLEwIULEiNHXsbPT6F9e+F6kh4yI1GyDFOn2jhzRmbFitRhWNdk2KiRk1dfdTJwoIlVq6w0aOBk1iwhtjxjhvcLh04HCxZYmTbNyPnzuTvhShLMmmVl+XIjR4/mbBp01datXGlg+nQb48fbCApKGz0KCBBk8KOPTOlez8mTMu3amfn8czODBkkEBITw++81GDrUl5kz7xEYeIPQ0L3s2uWgTBl/atWK5fPPE6lWTSUyUscvv+hZsMDImjUWrl59yI4dOrp29aF69ViWLbubrv5gSty+La6jTBl/tm3T07y5A1nW+PZbAxERGjt36jh6VLhL1KqlsHathY8+sqcigadOydSu7UvhwgEsXGjgm2+S+O23RHx8NF591Zd+/SI4cSKAZs2cfP65lf37E1m1ykqnTg4qV/aEBCbDZBIp4UKFNNavNzBwoJ01a5LfzXz5RK2hxZLxuxMdLaNpEmFhGjt36nn+eSERYzKJDfqmTXoSEqBDB+8ix5MmGRk+PHnzs2ePjtWrjaxebSFlEElRRK3f+PEiVSy6mMX7+OABTJ1qZNy45DTyqFEmBg+2Z0vL0BtMnx5Cnz4yL71UnooVK2IymTCZTERFRfHHH39w4MABLl68SFxc3N/m4f4onmRqOCEh4f8VEfxXRwT/ScguEbTbM5aPSUpK4siRI3/t1ir/ZRWneSQLc/u2DwULJnl9Po9CUbIWu84I165B4cKeE8EdOyTu3UugVCmJ8PA6FC9uIiAg7YL6888yvXt7NzGnTMvOmKGjcWM1jT6gpsGIEUK/cNYsZ7oRrMuXJUqUyF6EVJIk4uLiuHjxorvzObsTWcmSsHy5k99+E6nftm0V3n8/tY7g66+r1Kql0quXnqpVw/jwwziuXg3lvfcMLFzooGhRb88fpk2zMXCgidWrDbRpk/oZaJpGixZOHjyQGDPGxMaNFl54wZfVqw28846T9ev1fPCBd+k1f39YvNhKx46i2zc3RYdNJli8WFjRLVpk9drPN6UY9NChqdOiGZHq0FBYulR0ZLtErk+dkvn0UyNms0b37na++srAnDmi7k80bZiJiyvC6tWlOHxYZvr0aO7cucHcuUF8//0dNmwQNXcbNsQSGmrilVf8KF9e4ZNPbIwaZWf//lhkOeOGujt3JEaONLFxo4HAQI2mTR3ExEhUq6ZQqJDK5s0G1q0zEBSkMWGCjfffdzzSAAJbt+pp1UrUNb79toNVq6z8+quOkSNNHD+uIzxcCCfXq3edokXvULlyJff3VVU0uZw/L3P7tsTVqzJms8gOlCypUrWqkq79oQv9+tlp2tSHDRssLFyYPFndvi2TlCRRsmTGc8/334fy1ltxbNtWgBdfVDAaYdo0IyNH2vjqKz0PHki8954DbzKAf/4p5KFcLiwPH8Lrr/vQvLmDV15JvUZ89pnQf3Q1k7i6mEGQvmHD7O6SlJ9+0mEwiJrRx4mff9ZhtcLrryf/jsFgoGTJkpQsWTKVdubJkydT1beGhob+benSJ50a/v8iHQP/ciL4T2LjOp0OpzP3apnu3r3LsWPHKFSoEGXLluWLL/SYzWJgeiILc++ekXz54nPtfLKDs2dlypdXPSKC9+4lcueOyv/+F8aCBRZ27fKjefO0E96FCxLFimleS5O40rKRkRInTkgMGZL62KoqOoerVxc1eRnh0qXMiaCmCb/hY8dkbtyQuHlTpIkkSeP27QrodAply9ahUqVA7t3TqFRJIydN788/L1LB8+bpeO89PbNmOYmISP573rywbp2T7t19mDw5mIULNYoVc9C1q4EZM5xprPCygkvWpH9/EzqdnpYtnWnGYefODqZNMzJnjpEff0yiQgV//vc/HQkJwiXjxRe9W8jCwzWmTrXRubOZdessGXaJZ2c+CA2F2bOF4PTnn1s8kkmKiRHds5cvSwwZYk/Xli8zhIcLketnnvGjcmWFkiVVuna18803BrdUjKtL+/59WLjQyP/+p6NXLzsffWTH6fRn0aIQ9u83s39/PmbMuE7lyldZvz6YyMj8DBgQw969eQkPz7xJKCZG+MauXGkkMFCjeXMHt29L1KqlcPeuxM6degIDNYoVU+nRw86OHXoKF07uYLfbYfFiAx99JCajKVOs1K2rsHy5gfr1BRl44w0no0fbePllBb0erlxJ5N49HVu36lmwwMCePWkHcoECKnY7xMQkb5JeftnJvHnpk3VZFqTRYiGV7uClSzJWq0SZMuk/H0WBPXsCad36CkOGFGHNGgvHj8v4+2vkz6+xbJkBs1mjY0fPN50PH8LEiant3nr3NiPLIgKdEhcvSuzYoeeLL5I/61Ke2L5dh58f7pKIuDgh9J3ys48D0dESs2YZ2bgx9TmlJFyPamcmJCQQGxvrrm81m81uUhgSEvLYbF7/Sw3nHv7VRPCfBJ1Ol60Q+aPvkaZpXLhwgStXrlCpUiUK/GVCbLFIXmkCqqqMJOVs5+hwZO6AkRVOn5aoVi1rInjv3j2WLLmFn19pAN58U6ZPH4kePdJO+ps2yTRrlr36PKsVJk/Ws2ZNWqHoiRN11Kih0qlT5s8wLk5K4zVqscC338p8953M/fvCs7RaNZUyZVRefBFCQxXOnTvH9eu3KF68DLIcQFSUkIRYvlwiNlYiPFxIcLz+uuouCvcURqOQknnzTYmuXQ107qzQpEnyOep00KvXDXbvDqdFi2AWL3ayZo2Ddu0MfPxxxt3SGUGWRVdm794m/PzgrbeSbf9cGDTIzvDhJr77Ts+BA4mUKeNPRITKnDlGwsJsVK7s3VipWFGQkUGDTMybl7uyMiVKaAwbZqd3bzPLl2csK+Pq7MxMDNoTHDggM2eOkapVFU6ckClTRmXKFBP9+iUf06XV9/vvOrp3tzN0qB1FgUWLDAwdKiaCDRuS8PeHN9+MoFq1AvTta+Wjj+4SHx9LzZqX6Ny5Ij17RhER4cBms7mlWx48gClTTMyda8Rg0GjZ0kFUlETVqgpFikhs26YnOFhDVeH11528954TvR7atXPQvbto+jh6VGbZMpHKWLfOgqrC3LlGhg41Ex6u8vHHdlq1crgjuDdvCoKxaFFl9314+20Hq1dbCAzUsNkgMVFCrxdi7JUqKQQHi43VH3/o6NrVTPny/hw/nuD2H08JHx8hZJ3yvdi5U0fhwqpbF/BRbNyo5/nn77B/fwB16yoEBMD06UbGj7cxY4YRRZHo2tXukTyVCyNHmhgyxO6OYP7wg47Nmw3s2JGUqrnPZoMBA8zMn5/6fVNVlYQEI/PmpSZ9w4ebGTXK5lVk0ltoGgwYYGLSpNS/k5ksWsqmk6JFi+J0OomPjyc2NpYLFy5gtVoJCgpyd8P7+/vnGnl60l3D/0UE/0MaZDc1nHKzbrfbOXr0KBaLhbp166bSKEopKO3JOJIkKcfSOrduZb8+EODMGYn339e4ejV9IqhpGpcuXeLSpUtcuPAcefL4kTevRt68wp4tvUnvjz/kNNE8TyDLMmvXlqBPH4W8jyjZfPedKNYeNSrr4xYooHHrlgRoXL4MM2fquXoV3npLZc4cZxoSZ7PZ/krvqxQqJFOqlJG8ebU0tYe3bomUd48eehQF3nxT5b33VK8WoTJlNLZscTBmjI6dO/VMm+Z030NJknj11fs891x+WrY0sGSJg3XrHLRrp6d3b+FX7A1EhMNGu3Zm8uUTkfCURFCShANJu3ZmSpRQOXAgkVq1/GjVysHw4SaWLUvrWpIVGjZUOHpUx7Jl6TesuOAiPN6gXj2Fs2dlpkxJqzsXEwNLlggC2LWrncGD7R6PwZTYu1fH3LkGihTRGDnSzpYtek6dklm50kBUVAL+/kIqZOlSA7/8IjTsBgwQBHDZMgMDBwoCuGaNhddfd7J+vYEFC/T06GHnxAmZ55/XCAsLI1++MMqUgerVLXTuXJpXX7XidJ7lzJkofvihPEuWiAaWFi1EBLBMGZUiRWD7dj0BAaIJ5I03kgmgCw6HKBPp3Vucx86diZw6pWPIEBPXr8s895yTDRuSePVV4akbHw+jRxuZNUuEEAsWVOnQ4Q46nYMTJ8L59lsD334rUrk6nYavr7CLy59fIyhIw2TSGDxYeCsfOpRI7dp+9O9vTuWs4cKDBxKXL8uUKyfGsKLA6tUGRo5Mv05ayE8ZGDPmDiNGVGTDBjvbtukoWlTF6YRt2/SULKm6/Z49wbZtOnx94bnnxDlER0u8/74vPXqITvGUGD3aRNeu9jQkVVVVFi8uz5gxNvfY//ZbPeHhqkduLznBsmUGatdW0mzSvCFcer2esLAwwsLCAFI5nVy9ehVZlt3Rwjx58mS76cSl2/ukIoKuGsH/L/hXE8F/Ulg2p6nh+/eFoHBQUBD169dPE0632dI6i2QGWSbHRbw57Ri+cwfy54eoqLRE0Ol0cvz4ce7fv0+dOnVYsMCPEydk2rRRuHhRolSptOd++rREmTJatuzHYmNlLl8O4PXXUx/33DmJJUt0fPmlZ+mfiAiNH3+UGTpUR1SUxIgRSobSM5GRifz2WxRJScXJkyecK1euky+fPyVLyoSHaxQvntx4UqAAtGql0qqVysOHsGWLzHvvGahaVaVLF8Xjej6jESZNUvjpJ4lmzQThi4hIHitVqmgsXuygSxcDs2c7WbfOSZs2eiRJ4ZlnPPsNFwwG0U3cqpWZZs3SToo6Hcyfb6VVKx/mzbPy3XdJvPmmL4MH2+jZ08z69Wl9VrPCwIF22rc3U7mymmZxzSnatXMwYICJrVtF9+i1a0IT8epVmS5d7Awb5hkBhGRSrGnw22865s8XHb2TJtnYssXAkCEmune3c+GCnX37dLRs6cPzzyv8+quOjh0dbNliQdNg1SoDffoI4rV8udDc27xZT9OmPjRt6mTLFgsGg2jSaN9eCGW7xmzBgj5s2gSNG5fiu++eYt8+MYE0aHCTu3cNBAQkEB7uw86dIeTNKxb6Ro0UPvzQkYoAxsVBv35mtmwRlnQ//5zIyy/70bCheObNmzvo399CxYoqmiYicc2aiR2IyaTRsaOdy5dlfvlFz/Ll+TEaVd54Q2HqVCslS6oULqzh5ycI6L17EpGRInVcoYLKtGlGevVy8PTTCtOmWWne3BdNS70Z1jRISJDYv19218/t3KlDUUR9X3pYtsxA27YONm/Oxxtv3EenC2T+fCObNgndTLtddK17+rxjYiQWLEiO4mkatGtnJk8elbFjU2sGfv+9HklKXYOX/DdfwsOTqFFDhA/v3pVYtszApk2PNyV8+rTMrl06Pv/cmuZv2TFKcMHHx4dChQpRqFAhVFXlwYMHxMTEcP36dU6fPo2/v7+bFAYFBXn8O6715Emmhv+/aAjCv5wI/pOQ3YigLMOVK1GcP5+5VZ6nnsQu5EZEMCdE0BUckiTSSOu4/JFdfsEGg7iwqCiJp57S+PNPibp10/7ul19mLy0MsGSJL2+/fQRIVscXqvk6Fi50eHxvz5+XmD5dz44ddp57LmVzgPAp/vZbmVOnZHx9k/D3v0eVKmG8+GJeTCbImzeWfPl8cTr9uHxZYscOiYsXxbOuVk3jjTdUqlcXWmpt2qi0bq2yb5/EyJF6QkJg+HAnf1UKZIkGDTSKF3fQqZMQy/bzS26WKVYMVq920L69+NuqVU4+/FCPySRTvbp39zcgABYssNC8eVVefJFU9YkgdAjnzhU6hGvXWpgwwcrIkUJLbfhwEzNmeCfqLEnieB9+6MOSJdZUemy5sTH85BMbTz3lx/TpRkqWVOnVy0716t5vqDQNdu/2Y9MmH6pWVZg+3cq33+rp29dM584O+vcXpNJqFfWku3bp2bVLT3T0Q3Q6WLdOT48egrgtXmyheXMn338vCGCjRk42bbKkKhWpUEFl5kzhBDN/vpWiRYW+3/btev73v2R9ygYNnFSrlofQUDvffONLQEAiDx48oEKFaPr3T6BgwVAgFND/ZfdnZv16AwULqvz2WyI7duhp1Cg5VD9/voXWrZ0pxKvFQHr5ZSeqCrt26fnsMyPPPuvks88sFC16gaAgG2XLlk33vkVEaDz1lEq7dg7GjzfywgsK06cbefppQTRBRPtSEtVjx0Qt8s8/6+naVRDo/v3NNG7soEiRtPPI3bsSP/+sZ/ZsK8uWBbF06R3Gjs3LkCF2Nm8W9m/du9s99mnXNBg0yMS4cclRvHXr9OzerWfv3sRUjTVRURJLlxpS1eC5cOmSxMaNAYwadRoIw+kULiSTJ9vSOAvlJqxWGDbMlKHbTk6IYErIskxwcDDBwcEZNp0EBwencjrJaEy71pMnlRpOSkr6LyL4H9IiOzWCiqKgqg85evQyzzxTnTxZyMQ/ugvOfN1LK6DsLW7elNyK+97i9u3ktHLKe3Pv3j2OHj2ayh85Jga3HEKpUhrLlukYMiRtdDUyUmLECO+JaXw8HD2qp1eve6nShl9+KfPcc5pHFn+qCpMm6bh2TQiAP/usOA+7HVaskPnmGx21a6u0baug158mKuoaVapUIV++MFx6j5qWQLFiVgoUeDT1AgcPSmzdKjNmjEylSiodOggXkXr1NOrVc3LwoETv3noqVBDOIZ7UCpUsCRs3OujSRU+9eiE0avTQ/bf8+WHdOgdt2hgYOVKQwQ8+MDF+vELlypkcNB0ULAidOx+nZ89n2LjRlqaWtWhRjeHDhe3cypXCZWPSJBOdO9v5/HM9rVp5F0kPCIBPPxXkMjtRxfTgEj5euNDAU08pHDqkY/Nmq1fODa7j/PCDnk8/rUTduirTplnZsMFA375m2rd38PXXFmRZpIBXrDDw4496WrZ0EBf3kG+/1ZM/v7+74WHePCstWzr4+WcdTZv68MILCuvXWzLUsytVSmPBAtH40ry5kwEDTNjtEi+9dAOdLpSdO324dk1CUXSEhJjx8ZGoU0eQJ1X1JSbGwqVLlzhy5DQbN1bjyy8jCAhQ2bUrgR07DDRo4IvTKcS+e/d24Oen8fLLvkyZYuLaNbEgf/CBg/XrDfz8s55q1RS++CKJl14Swu9Xrkhs3+7PpUuhOBwmkpIkzGaN4sU1Xn3VmWqukSQYPtxO8+Y+BARoJCbi9iF+tG55xQrhvOPvr2Eyie7aGzdkfvghrWqCpsGQIUKuZdQoE927n+HIkbw4ncITeehQH0qUUOna1fMGkY0b9ZQrp7pt+a5ckeje3YfRo21UqpR8TQ6HiKx++qk1DbFLTBTkdcKEa7hsQUePNvH++w43AX5cGDvWRLdu9gxLNR5XCvbRphOXqPq9e/c4f/48JpPJTQofbTp50kQwISHhv4jgf0gLb1PDSUlJREZGYjaXpmzZOuTJ4/mWz8dH1AxmTgZyIyIIDRpk77tnzkiULy8mFldE8OLFi1y6dImKFStSMIV44sWLyUXeJUtqREUJ2ZlHoapkKy28aJGOLl1EmsdFBC0W+OwzHd98k/WEr2nQr5+eihVVRo5UGDlSx6FDEnfuSMyZo6NNG2HpJklOjh07RkxMQroi0Y+KWrug00GdOhp16iiAwuHDErNn67h9G3r0EPV7NWtqfPmlk23bZN55x8DgwU4aNMiaFAcFwdq1Tlq2DMRq1TNsWPLfgoNhzRoHH35o4JNPnCxfbqVNGyGlklGBfUYoUuQhXbpYGDrUh9mz00b56tVTOHVKZtYsoXNXpow/Bw/quHlTokIF1euoW+nSwsps7FgTEyem/j1vagRVVRC35csNVKmiMGOGjfz5NY4elenTx8yaNZ55EjudsGWLns8/N/D88wp9+lzkl19KMnSomW7d7AwfLiKACQmwfLmBn37S07atIIaSJHxtO3QQ4SS9XuPu3QT27tXRvLkQSV692pKphIoLFovEkSM6du8WHb61ajm5fx/eeisJWTawfbuec+ega1c7M2bY/tIA1AGhBAWF8v33FRk9WsxFixYd5cABPY0alcVu19G1axwDBkjkz6/nzh2J557z5cwZMSAbNnSyc6ee9esNjBpl+8uHWmP3bj1Dhpi4dEnG6QSHIw/+/grFi0Pp0irly6v4+WksXGjA1xcmTUp2oTEYBOlz/feOHTokKfV7GR0tBKNv3tQzd64VhwPef19ItQjR/dT48ks95curnD4t7OPy5LExdmwYGzbYadfOjNMJM2d67pF99qzMpk3JEb6kJHj6aT+eekphwIDU9YmTJhn58ENHGtUBMb+YGTTITv78du7dk9m0SaSPvalRzA527tRht2fuUvJ3NGU8KqquKIrb6eTixYtYLBYCAwPdxFCWZXQ63RMrD0tMTHTbnf5/wL9aUPqfViPoKfG6d+8ef/75J8HBwZQtmx+r1Tv3D19fMhQFdkGSyDERvHEj+6nhmzdTeyjfunWLqKgo6tSpk4oEgiCCjr/4mCQJ7bhHH+2dO/CIA5vH+P13mVdfFUTDRcTmzxei1FmlXDQNBg7UUbmySteu4hhNm6o884yRffskNm920LKlisMhRKIVRcnQKcRTv9/q1TXmz3eydKmT33+XadJEz+7dLtFmla++crBjh0z37hmLQ6eEXg8ff3yd06fNLFyYesgHBcGqVQ4GD9YTFycxe7aFnj3NHh035XUBvPSSjfBwjVWr0hee7NDBwenTMpGROv74I5EjR3QULKgxapSJ+HjPf8+Ft94SFmA7dni/O7DZRDNB48Y+XLwosXKlhTFj7G49t6pVVRo0UJg5M/Nwo+gkNvDOOz7ExkpMmmTj2jWJZcuK8corCWzaZOHllxUePhSi2i1b+lCsmMbXX1to2tTJ1q16goMD6NDBh6lTrcTEPKRxYyehoQH8/LOOJUssjBhhz5IE3rol0bSpD7Vq+VG2rMrrrzuIipIpUUJFVWHHDh/8/DTee8/B8OE27twRvsAufP+9npCQAEaPNrF1axLz5lkZObIyn31WkQ8+sLBz5wmaNj3M778foEwZPaVL+xMdjbs549gxme+/TyIu7iHVqyuMGGHixRd9adPGzPLlRn79Vc8ff+j53/8C2bcvkM2b9YwbZ6JVKzMzZhgZOVIIU2/dmjo2oWlw/76Enx+MGmVmzpzUpH/yZCNlyqjUqKGQP7/G9OlG7HaJGTPS1rrduSPx+ecGmjRxsmGDgcGD7cyYUYp+/WJZvNjA2bMyI0faPdYJvX8fBg40sWCBFb1enOuHH/rw8KHEN98kpdpA/Pyzjrg4KV1iN3++gapVFZ59VkFVVS5d8ufLLw1pagtzG/fuScyda0zje/wocis17A10Oh1hYWGUKVOGunXrUrduXcLDw3n48CGRkZEcPnwYVVW5desWNtvjvU/pISkp6f9VRPBfTQThn0MGPSGCLmmYyMhIypcvT4UKFQgJkbxeBP38siaCspzz1LDD4V1dYkooioh0JSYmcu/ePRRFoX79+gSmI4l/6ZKEzSa0wG7fTp98Hj8upduUkRXOnZMoVUpDrxevuqqKhfHnn2Xefjvr+7NokUyhQri1BW/fhlGjxGI1bJiCnx/ExMTw559/kidPHmrUqJFhJ1x6fseZITQUxoxRWLHCybffynTooOfWLUGUp05VaNFCoVkzA6dOZT0GdDqJIUOuc+2aiGKmRFgYLF/uoG9fEyaTxsCBQkrFm9fHNQ6HDrWzc6eOw4fTTi3CYcTKpElG/P1h/XoLS5caadBAYdAgMx5w5DSYMEFYrWVmI5YSDx7AnDkGmjXzQZI0vvzSQt++jnSdGtq1c3D+vMwff6QlmnfuSIwbZ6RVKx8KFNCYONHGoUM6Zs0y0rGjg3HjTlO9upX4eGGD1qaNDxUqKHz9tYW33hL1fkFBAbRp48OkSVaiox9Sr55C+/Zm8uYVDRbBwWSZmn7wQNSnlS3rz5kzMt272/Hz03jnHScdOtiZPt3E6dMhJCaKv332mZXhw+107eqgZUsfduzQERgYwAcf+DB/voUtW5IYNMhEr15mGjRQOHEigdmzoVix4rRv/xIdOryCj49MgQJWoqN16HT3KVMmkRUrrvHrrxJ16/ryzju+fPGFgfPndYSHayxZYuHIkQTi4x9y4MBB/vjjOFeuJBIf/5AlS6zExUmMGGHivfcc7N6dfK/v3pWIjpYoWlRE8EBY1blw5ozMnTsShw8L/+RLlyQmTzaxbl3a6KmiQL9+Jj7+2MaQISZmz7by2WcGSpd+iKZJLFxopEkTJ40bexaBU1Xo1cvMxx/b3JuHmTON/PKLnv37EwkOTv2uzJ5tZPLktIRl924dR4/q6NlTXFd8vMScOSWYP9+aI+murOC6HxMn2rJsQnwSRPBRuJpOKleuzDPPPEPx4sWRZZkbN26wZ88e9u/fz4ULF4iNjf1bnE4SExP/3/gMw3+p4VxDVkTQbrdz/Phxt7esSxomKEjj/n0hR+Ip/Pw0kpKy+k7OU8P+/kIg1Rv9QhdUFRIS7vPnn//D19eX4ODgDAnSxYsSN29KPPusSmws6Qosnzwpp/Jn9RRbt8q89VZyakNVVXbvlnj+eTXLlN/RoxK//Sazfr1YHGJioH17AzNnOrl6VWLCBB3dul3i3LlzlC9fnohHOyUeQUap4awQGgrTpyscOyZ0At97T6FVK5UXXtAoX95Bz556WrQQcjMZQRA1jUmTFAYO1LFmjUzr1smfL1gQ5s6106uXD+vWWblwQfjmDhvmuU2hsMeCOXNEinnVKksaIhMYKLox+/Y1sWaNlebNHXz8sYneve2sWycEqr2Bj4+wvuvXz8TKlRlHBu7elVi40MDRozo6dHDwzTeWLJ+/JMH06VY++MCH0qWt5M+vce6czLx5BmJjJbp2dfDaa07mzTMSEqIxdKiNkiXF8/31Vx0bN+bh3DkfunWzM2SIuI8//qijRQuxgIwZY6NnT9FR262bmcBAjU8+sRERIRo9Ro40sWyZgU6d0pYv2O2wZImBESPE4Ozf38aRIzqKFVMpXlxl7VoDJUuKSNmhQ75MnRpDnTrJ469cOYXDh0V374svOpkwwcbHH5v46Sc9zzzj5LPPEqlSRcVmg/btzXz1lYFy5RSqVlU4etTECy84+f77hyQmWnj22VDefNMHVRU3tGBBOx9//BDw5fffRbPIlCkSwcEaRmMp/PxgyhSJ0qU13ntPpJTPnRPizynnmjVrDNy9K9Gpk4M6dfwYMcLmTtk6naLBwddXY8AAOzod1KvnR/36Tt58M+07NHGikTffFJI73brZuXVLYt8+Hc2a3WXYsFqULau6bd48waRJRho2VNzuIbt26RgzxsTatRbKlUseVzabaPiYOjUt4bp+XWLGDOEbLDI4MHp0QXr3jiIszEvbHy8xfryR1193eqTn+SRlWtKDLMv4+vpiNpupWbMmDofD3XRy6tSp/2PvrMOkKv82/jlnzsxsL7ssXUt35xJSSigoICKCdEl3SChIg1IS0ikSgigqWKAiEgJLd3fsLgtbEyfePx5mdodNwld+Xt7XxQXszpzznHqe+3zjvlFVNZnTyfMOGP3XNfwfUkRaRPDhw4eEh4fj7+9PWFgY5iSebZky8cQRwYykhhUFnM5ns+Py9zeIiSGZ7l56MAyD27fvoWnXqVevBLGxsTgcqROK+/dFgfUbb+hERUnJDOxBRATbtHny4/n9d4l+/RJrxnRdZ9UqE5MmpU04xEKjsGqVEJ+226FjRzPTpqkUK2ZQpIjGZ5/F89NPd3nzzUoEZUAFOqOp4dRQpozQCZw2zUTnzgozZ6pkywbr1qkMHqxw5YrE4MFaik1Ern0LcqPRpYtC5sx4yOkUKmTQr5+d/v29WLTIRp8+VnbtMqXrUevavgvBwTB+vJ0hQ4RA8+PjKV1ap359jXnzzMyZY2PrVoVTp2TOnJGpVk1zk6mMolgxnUaNND791IuKFT1/d+GCkIC5d0+iZ08nH3yQcQkYcEVf7VSu7MtLL6lkymTQq5eT69fFdgsU0Jk82e4ug7h1S2LePAv79xejR48EJk8W5CuppMqoUXb693dw86ZE//6C+YwebfdISUqSiHYOGGBl/XqFt992aTXCli0KHToIVuGKhAH06OFk4UIzxYrpWCxC83LSpHh27/6Dzz+vTUSETKdOTqZOtTBlipWSJTW2bLFRt64vNWoohIbqfPGF0CgE4RoydKgYX/XqKn/+qVCqlMahQ7EATJ3qxfr14oVW12V69YonJCSGNWv86dEjtVBmJj766BpDhuRw10f6+gpXkB07TFSvLu61Bw+E/VqVKhoHDggSMnx44hzyyScWMmc2yJLFoF49ja5dvUhIkFKUWfnuO1H24OUlMhyiqcuLxYttNG9eAkmCJUsSMtyZu3WrQlSU5NYoFHOXD/36OWjaNHFecdX+de/u8CCHIDp1+/TxYuZMm7v5Z/JkC7Vq3aFEiWe3Bk0L69crOJ1Shl+6XoSI4ONIWrdoNpvJli0b2bJlczedREVFERERwYULF7BYLG5SGBwc/FycTv4jgi8YnnVxfV5IjQi69JIKFChAgQIFkr2ZBAYKweX0kPQQM5Ia9vaG+PhnOy++vq5OvYxvx6UPGBnpT7VqRcmZ04sLFy6kGa6XJIiKEjWFkZEpRwQjI5+ckD58KBZywbslJEkiLk50IKbXKfz55zLNmyeKT3/wgYkePTRKlzaw2+0cPnyYLl1MLFhQlU6dUj622Fj4/XeZAwckzp+XuHGjGBaLgre3kIMJDTUoX96galU9w8dmMsH772vs3Ss8hufOVSlc2GDWLJUZM0wMHKgwY4aaLNqV9DmRZVi4UKVtW4WQEMPtLGIYBrVqOTh/XmHaNAtTp9pp3dqbEiVsKZLz1LYPUL68TokSOl98odCmTfIFp1MnJ+3aedGggcaPP8ZTq5YvY8faGTTIiy+/THhif+sOHZx06GAhKCiA2rUNDh2SmTvX8kgA2eHRvZlRaJogEStWmPH2NvD2FiRixAgrtWppzJ+fGPE8f17UW92/L9G7t4MWLY6TPXsOduwIpnlzQQCHDbMzaJCDyEiJ4cOtxMQIi7rHSYILkgQzZtjp3t0Lf3+DHDkM3n3Xm2vXZDp2FFGw69cFwV2xwszdu0Kf8sEDidmzE+3YLBad2bMf8M47WRg0SBC7HTviuHhRpm1bbywW4crRoIFKw4Yq+/fLbo3AN990smmTmZMnTfz4YzyFCulMnWph4cLE6OJ77zkwDJg/3wcQx1qqlEafPvcpUeIWTuc9YmJiUJRA5swpwgcf5KFRI6d7Tlu3zkynTk62bVPcYtETJ1q5f1+ib18Hdev6sn9/nJvA79pl4tdfTVgsQqfym28UNmwws3dvXDKLwPPnpUdi3A4WLDCzcKGNDh28mTxZyBfdumVm3rxIQkMzJgVy+rQQAP/iCzHOuDjRHFKhgsZHH3lGFKdPF+4xj/sLC9kqK716JdYjushq69aRaNrfR7oOHpT5+muF1auT11Cmhn/SwSM1pOYznLTpJG/evGia5nY6uXjxIidOnCAgIMCtXejv7/9U0cL/5GP+Q4pQFMWDCOq6zsmTJ7lz5w7ly5d3K60/jieJCLokY3x80k8NuzqLnwX+/iI1nFG49AGtViv58xfEz88EpG8x53oOZVkIs6Ykl/A089Dp0xIlSiSeI1mWOXBATlGjMCnsdvjiCxPffCNScr/9JhEfL9GkicbDhw85dOgQmTJlonHj0ty9C5Mnmxg9OvHah4eLrt+4OKhXT9jGFSlicPHiOQIC/MmfvwD378OlSxIHD0oMHaoQHQ316hm0batlSLKkWjWD5cuddOtmZsgQlbp1DQYP1li+XKZ/f4XZsz3J4ONEzWKBJUtUWrUys3Klk2zZDDRNwzAMOnSIY/BgP/bvl5gwQfgKr1yZPLL3OB5/IRs4UMh/1KypJdNzkyQRaevd24uNGxP48EM7Y8daGTvWzuzZFoYMyXhK2rW999+Pp2rVumzZ4qRECYMPP7SnaEeWHh4+FORk61aFhg1VZsywsX69mYkTragqbNyYGD06fFh+ZNUmCKfr3l2yJBODBhV5dB7sDBvmIDZWYuxYK7duSQwZkjGPYpMJxo2zU6KEiD7UqaPSrp2T3btN9Orl4OhRE3PnWihaVLiujBjhICzMk3jExCg0aZKZw4cVihXT8PYWaecDB0w0aKAyebI4T59/rhAcLJhU27ZONmxQ2LTJzLJloq5x3jwL7dp5cedO4o3l5WXw2WeWR9fAYOPGBOx2iT17THz3XSDbtgXSsmUhGjeOJzIyksaNr/DjjzmJiLjPyZMXOHo0L3Fx/kiScDoxm0Va/bPPLMyYIaKVgwbZ3WT56lVxDiUJPvssgTNnZN5915sFCxIoUcLzfEZGSgwY4MXIkQ6mTLGwalUC/ft70auXg2+/Vdi+XaFnz+PUqBEIpL+oR0eLesxly2xYLInNIbGxsGWLZ3PI5s0Kd+9K7pKApFi+3EyePIabIJ47J7F0qZl16xK4fPnvi77duiXO3erVCU+kvvAiRgQzmq42mUxkzpyZzJkzU7hwYWw2m9vp5Nq1awAeTifWDISFXVHH/yKC/yEZkoomJyQkcPjwYQCqV6+OdxrVuKJGMP3tZ8kC9+6JztmMpIa9vSVsGX/pSxH+/kaGI4KP6wMeOGBClhPlYzJSwGsYEBWVfoF8RnH6tESxYp5E8M8/FV5+Oe2xbN0q06KF5p7sP/5Y+BPfvn2bY8eOeUR3O3XSGT3axIIFMq1a6QwfruDjA+PGqcncQGQ5MT0bHCyaYypWNOjeXcfhwN0JnDUrDB+upiihkxQ5c8LGjU66dFGIj9d57TWdTp10NA0GDlSYNUt1k7eUIueBgTBrlsp77yl8/nkCiiImTsMwmDgxjjZt/Fm8OIZy5STWrDHRtq0zTc/Rx6EoMH26jcGDvVi/PnlNXs6coot19mwL/fs7WLbMzA8/mMiSRdTiFSmSkfolESFau9ZMdLRBtWo3KVs2mIkTM64D58KZMzKLFpm5elXmnXecTJtmZ9EiM++/b6VLFye3b8fwzjveRERIXLwoM3+++VHXs53QUHFu//jDxGuveWMYZenY8T4TJwrLwE8+sXD8uInBg+0Ztgqz22HuXAvjxlnx8jKw2YTrRuPGKr16OZg/30KNGhqaBlmzGmzalODRYJDoTNKQ/PlVzpyJZd06Mx9+KBa7adNsvPeeOE/btpno2TNxnvr8czNvvulk9mwbp07JvPyyD0eOiIW3Rw8H69aZefBAwmaTKFFCRMO2blVYtMhCw4Yq7ds7KVBAx+mEdu28qV3bQo4cOdi7VyyegwZJqKof772XiypVbhEebqJjx5ucPp2V5s1z8OqrTiZMsJA9u87YsYJMPXwIvXqJpqJx4+woCtSq5Uvfvo5kac74eOja1Yv333cwebKFefNsfPyxqG28f180lQwfbqdOnRtIUqYMXYvu3b0ZN85O1qziWo8fb2HnzuTNIX/9JfPllwqrViWfgPftk/n9dxPLlonfxcQIz+FFiwS51HXdo3ToeSEhAXr2FBqGSceaEbxoNYLw9FFKLy8vcubMSc6cOdF1nZiYGCIjI7l58yZnzpzBx8fHw+kkteOOjY31sID9X8f/PBF80bqGIyIiOHLkCNmzZ6d48eLp3qwiIpj+MYSGGly6JJE1q4Gvb/pRRB8fHkUNnx6uZpG0kNQvOKk+oK5LGSaCSflJVJREcPDzSfWfPi3x7ruJ+5VlmfBwheHD097+5s0yc+eKheX772Vq1NC4d+8cV65coWzZsmRNomMjark06tc3M3Cgmd9/d7hTrY8jra5hi0X4CzdponPkiMSwYQoFCxqMHJm2eLSPD6xcqdKli4LTCc2a6XTtqjN3rsSUKSbef19z7/txImgYBkWLCgeTMWMsTJvmdNfPmM06kybZGDbMj0WLYmnd2o969WxkyaIiy7L7z+PbexwFCxo0aqSyeLE5RZHed95R6dDBi7NnZdatS6BGDV8mTbLx/vtWNm5MvaHj6lWJtWvN/PmniRo1NEaPtpM9u4Ndu/7i888bEx4uuwV+04KqwvbtCmvWKGTLZtCtm5PoaIlFi8z88otBz55Od1pZ14VjRvHifgwYYGfOHDtZsohj3rPHxOuve2O3S3Tv7qBp033kzZuDJUvy8OuvJvr3dzBmTMbrE7dvN9G+vTc2m8SYMXZu3JCIipLYvdvEqlVmatTQKFxY5+xZ2SMN7MLt2xJVq/py/77Ehx/u46WXCtKhQyZOnzbRqZOD9u2dfPSRlWzZhHzP1asyAwfamTlTkMTq1VVUVZCUH39UiI6WKFpUY+RIh7s+0dfXYOXKBNauNbNtm8KAAY5k9Z1Op2hs8fMTciXr1+ekQoV4XnvNizp1SiBJBooSwowZV3nwwME772QiJCSBO3ecREUFcvduBGDFboeuXb158EDivfcclCqlkTevv7vR5fFr+t57IvI3Z46FsWPt/PCDgtVqkD27QYcO3rz9tpORIx3s3m2kO0drmiBRXbs6qFhR3AvLl5v5+GMhtZM0tX/1qsT48SLq9ngp2uXLEhMmiIYSYQEK/fqJiKXLIefviL65nFb69HFQuPCTz60vYkQwtdTwk0CWZQIDAwkMDKRAgQI4nU7u379PZGQkp06dwul0ejidJG06eZ7yMZMnT2bz5s2cPn0ab29vqlevztSpUz3cd2w2G4MHD2bdunXY7XYaNmzI/PnzyZYt23MZw4t1df+HYTKZcDgchIeHU7RoUUqWLJmhhycgQLzppof8+Q0uXxY3oegaTvvzPj7ibf1Z6if9/UWdW2pQVZXDhw9z/fr1ZPqAup6Yzn2SiGBsLKk6Jzwpzp8X0jEuSJKE02mk2QV9/77421WnuHKlRFhYODdv3qRq1aoeJNCFU6ckLBZ45RWdW7dSX+kz2jVctqzBF1+o1Khh0Ly5mT170mYPFgssW6aycaPMjh3is336aNy7B+vXJ96DSfftMm3XNI3XX1fRNIlffkmcWGVZpkIFE7Vqwdq1Powf72TsWD83mVVVFYfDgaqqaJqW5gtZp05OfvhBSVHiRZJg6lQ7H3xgpVQpnb59HYwc6UVYmMaSJZ6RkYQE2LhRoXVrLyZNslK9upBjGT7c0w5s8uQEPvzQShr9SURESMyYYaF5c28uX5aYM8dO9eoaY8ZY2bHDxLRpdubNE84QTid8/rnCG294o+sSn34qBIezZDHYt08mVy4/Gjb0oW1bJ1euxDB5sp0dO7LRo0dO8ufX2bIlgXr1Um7ieRxXrkg0aeJNq1Y+NG+uMnmyjd9/N/HmmyrVq2vkyWNw4oSJ775TaNRIiIAnJYGGAYsXmylSxI9SpTSuXYvh8mV/2rcP4sEDieXLE5g9207Fijrdujnp0MGbq1dl2rZ1MnOmlR49HNy7F8PEiXa+/trMhg1moqMl5s1LoGxZ3U0CV6xIoFs3Bxs3mvnoIzszZ9qTkcAHD6BzZ29GjBA1hAUL+j367hW6dfMiPNxEuXI6kyc7CA3NysCBFYmM9KZwYZmDBwPZvv1X9uz5kz17/qJdOyfXrum0bu3g9ddV8ub1J18+nS+/TEjmuDRkiJXXXlNZs8ZMly4OrlyRCQ838fLLGj16eFG5ssbcuaLUQdf1NO9dlxPJK6+o7lTu99+b6N/fi+XLE9zexiDm8T59vJgzx5ZMviYyUqJvXy/mz7e5pYrGjLFSt67mkcp/EjH0jGL2bAulSmm8/PLTqUi8iDWCf0eU0mw2kzVrVooXL0716tWpXLkywcHBREZG8tdff9G0aVPatWvHypUrMQzjudUI/vbbb/Tu3Zu9e/fy008/4XQ6adCgAXFJ0n4DBw5k69atbNy4kd9++42bN2/SokWL57J/+BdEBF8EOJ1Ozp49m6ZWXmowmciQXlv+/AY7d4qHMSPRPh8fCYfD9EwPjJ+fwbVrKU8ASesBw8LCkknDuHQEIbnX8ONwzXuGIVLlDx8mbxh5mrlRVT11EHXdhNls4LJwSgl798rUqiUuyPXrCTx4YMfb2065csmPEURkduBAkToOCoL33lM4c0ZiyBAtzYaNjKBxY53q1XX69VPYt8+gf//UyYTZDIsXq7RubSYkRKVMGYNp0zTatlUoUsQgKChx34aRWA8I4vpMmOCkZUsrFSrYPc79e++ptGxppUkTgxw5JP74w4d69dRH9og6hmHgcDjQdR2n0+kmhUkXDlkWqbwxY6wsXpw8XZYjh0GdOipffKEwZoxIxx4/LhMbK9Gkicrt2xKrV4uUbZMmKgsXJl9okyI4WKdDB5FyHjrUkw0eOiSzZImFhw+hfXsnrVo5Wb7cTLduXrzxhsqaNYkWbnFxQnT6++8VWrTw9PcNC/Phk09E9Ozdd52MH28jKAg2bVJYudJM1ao6y5bdIHfu7GldYjdsNpg1y8KkSVby5tVZtCiBTZvMaBpuaZe6dVVKldLIk0fn2jU5WU1cRIREzZo+3Lwps2VLPAUKCOJ27Fgodeo4+PhjlaAg8Zz17OnF2rVmt/fz55+bmT3bRseOThYsMLNihSDh2bPrNGyo0rt3Ytr4m2/i+eQTC716OWjcODnb1nXR/LBwoZkPP7RTurRO5swijbZz5x98/HEJNmwQcjRTp9opXlyncWORei5fXuOPP7y4dSsGX9+KJCQIi8Rz5xSqVr1CoULnyZevIVmyOPnjj2jM5sS3OsOA99+3UrSozk8/KbRsqWK3S3z3nULfvg6aNfOmSBGd1asTazzTI17TplkIDdV55x2RIdi710Tr1j5MmmTzEIdWVZG2HjUqsUzAhbg4kaaeMsXufmH59FMzAQEG7dt7Rsmfd/Rt+3bTo0amJ6u5fXxM/5bUcEYhSRK+vr74+vq6m04ePHjA9u3b+eSTT4iLi+Odd96hSZMmNGzYkMqVKz/1Odq+fbvH/1esWEHWrFk5ePAgL730Eg8ePGDp0qWsXbuWevXqAbB8+XKKFy/O3r17qVat2jMf74tF8/8HERMTw549e9z//7vqBlypYchY17CPD9jtT+5/nBSpNYvcvXuXPXv2kCVLllQFlC0WA5fgu6vuLD0YhkiV37/vOTFr2tM1izw+vz98aCU4OO234gMHJCpWNIiMjGT+/Cs0aGCjUqVKqWogjhmj8MEHKlmzCjK2ZIlKcLBB69YK9+49Pp4nF/kODIQVK1R0Hfr2VUjLxdDHB5YvFy4hUVGiRm/+fJURIxTi4kQ00hUJdEVCXJOpjw989JGT4cM9j1OWYeJEB++/b2bECCczZ5oxDBmz2YzVakXTNI4dO0ZAQAC+vr5omuYRLXQdb+nSOlmzGuzYkfJk2aOHk3XrzNhssH59Aps3m7lyRaJYMT82bxZp5U2bEujUyZkhq7UWLVQOH5a5cEEiJkYQuhYtvPnySzNDhth57z3hifvBB1bq1RORxc6dnfj6ijrVqVMttGnjTdasBl99Jfbr5QXh4TJFivhy4oQ4jvDwWObNs/HXXyaaN/fmzh2JL79M4NVXb2dYEPiXX0wUL+7LpElWJk2y8e67Tr79VmHqVBvx8RIzZ1p44w2Vn39WaNfOyerVNpYvT6BnTy/u3hU3+Q8/mChQwI+QEIPr12OIiZF45x1vbt6UaNv2FHPnxhAUJCLegYH+rF1rZv78BEaP9qJ8eY2ffopjyxYhcr1qlZnTp0306eNgzhwbK1d63hOvv+5DgwYqBQuKlzanU6Sid+82MWmShWbNvDl3TmbDBpECzZpVzIkRETGMGFGCVauCyZ9fZ9YsOyVLatSs6cPBgyYyZ9YJDzdx+3YMvr5iu717+3PypC/vvGNi+vRstG/fEB8fnTVr9nDo0B727dvH+fPniYyMYsQIC/ny6Rw7JppgFMVg0yaFYcMctGjhTd68Bhs2JHiIhwvty5Qnl+XLzcTESPTtK8jaqVMyDRr40KuXgz59nEm2ASNHWnnjDTVZ/acrTT14cGIj0YYNChcvyik2kjxPInj6tMyiRRY++cT+VC/Sf8eYnheeR2r4SWAymXjjjTdYsGABv/zyCwCdO3fm5MmTvPrqq2TJkoVWrVqxZcuWZ97Xg0dNA8GP3sgPHjyI0+nk5SR+r8WKFSNv3rwe3ONZ8D8fEfwnawRv3rzJiRMnyJ8/P3ny5GHnzp1/29tT1qy4iYWvL+mmhn19ZaKjRd3i0xYfP54aTloPWKpUKXLkyJHqd/Pl41EqW7xxZ1Tc2rVYJYWuP11E8HFER1vJkkUDUj8fx49LtG59lUOHTnPvXk26dPFOlYReuOCSj/DUf+vaVadqVYN27cyMGqVSq5an5/KTQpJg0CCN9etlunVTWLxYTZVkZM4Mkyer9OqlsHatSubM8MEHKhMnZmPQoLvuSJ4sy8menUqVdDZvNtixQ6ZevcQFrXhxg8KFDXbuNNG8ucaaNSY6dBCyDIcPHyZ79uwUKVLEXQKQNFro8t+WJIlhwzTatvWjVq3k8jBmMwwe7OCll4QUB8CZMyY6dnTQpImaqsRKWnjtNZXy5f1o3FilRQsnixYJqZGBA0V6cOJEu4eLzc2bQgPw7FmZ7t2FCLTrFB05IqRWrl6Vad7cyfTp8Vy6JNG8uY/b4mz1ak+Skd7cdO+exJAhVr76ykyTJk7efdfGZ59ZaNfOScOGKgMGeNGihcqNGwYXLsgeEcn8+Q0+/thOu3ZeaJrE/v0mPv3URuvWTkaOtLJ/v4lMmQxmz7Zz/fp1JCkv+/YJWZj69VVq1tTo1cub3r0dTJhgJzo68WXr5EkTb7/tpFQpjVatRIHqm286UVVxL44e7eDwYZnly83cuyd8u4ODDUJDDV5+WWX4cAd37kg0buzjFrnevTuOkiV9uXNHplAhOytWqPj7GxQq5EdCgjhPkZEy9+7FYLWKeadHDy+OHTPRtauDd991kitXACEhOsePJ+DjU95d0xUREcnAgTpZspxjz57MVKoEPj7efPGFL6NGOWjSxJvgYIOvvopP1iiRWmr4m28U9u83MW+eiGBfuyZqLps2dSZzCJk2zUKOHEIcOylEbZ6VN98U5xtER/T33yssXZpyF/7zIl1RUYkdzhnVR0wNLyIR/CejlHFxcciyTPfu3enZsyeapnHgwAF++OEHrl+//kzb1nWdAQMGUKNGDUqVKgXA7du3sVgsZHrs5s2WLRu3b99+pv258D9PBP8J6LrO6dOnuXXrFuXKlSNLlizuBf7velNJOmn4+BjExaW9yAQFwenTlmdyF/HzM4iJEftx6QM+fPiQqlWrppv+LlDAYPduMXmYTGlHJg1DRBBjYyEoyHgUEUxcoM1m0oyEZRTx8Rb8/VM/H7quExUVy7Vr56hUqRLz5vlToEDqO/7sMxP9+qW8vdKlDb780snAgQrffWcwdKj2zJqXb7+tI0nQr5/CvHlqquS4QgWDOnV05s830aePRo0aBuvXq+zc6UOePJEEBQWlSlLef99J69ZWata0e6TVhw510qKFlS+/tNOypZWaNW9w+fIJChcuTN68ed2fS9pE4oo8uv54e2u8+aaNpUuFW4Qsy8TGyvz6q8LPP5u4elXm8mWZuXNtjBljp3x5P4oX15k82cLmzelLXkiSRFSUldmzrfz2m4XKlTU6dhT+weHhJjZsMPP22042bPAUDz55UmgOxsZC794Oj6jOsWMy7dp5c/GiTJMmTn76KZ4cOQyOHROyMZcvy7z3noNevTxTfGldZ8OAtWsV+vf3wtsb1qxJYP9+E998Y2bxYhvLl5vZvl2ha1cnixaZGTHC4SYSSeHra7Bnj5jCt26Np0gRndatvXE6oWRJnZkzbXh5GVy/Dp9/7sXAgb7MnStqDseNszJjho2uXZ1cvSrRu3diivXbb+OZNs3Ce++JdPDKlQlMnWohWzaD9esFGS1SRKdVK89nw+EQRKdjRy++/low/QULEiheXCdXLhEVLFs2mgULooiMzE7Nmr5kyiTEpMuX19i5U0iw3L0r0aGDF1evygwd6qBhQ5XQUH9KldL47bd490uE2WwmJCQrH3+ch6pVdQ4d0qlQIQqzOYo5c7LQocMpmjSpiK+vxrffJpA5s+c9n7Q0Iil27TKxfr3CihW2R5JWULKkHxUqaMlklObONWO3e4pduzBhgoWSJXWaNRPn6ehRcc+sWZP6vfw8SJcrTT1hQmKH87PgRSSC/2TdostezrV/k8lE1apVqVq16jNvu3fv3hw/fpw//vjjmbf1JPiPCD4hbDYb4eHhGIZBWFiY22/QdVM8DfGSZc+autQg3EJEdPDWrbQ/W7q0wbp1mZ5LajguLo5Dhw7h5eWVYj1gSggNTWxuSa9ZxN8fSpUSxLFNGz3FY3sa/vT4d6xWI1VJHVejj9NZgrCwMLy9vTGZUo9EGoZIFZUrl/r19vMTdXu//y7RubNCwYJZadXq5pMfSBK0aiUaUmbMMDF4cOr77t5dp2VLhVdfhdBQndGjdZo3L0iJEnuxWp1kzpyZkJAQQkJCPK6nvz+0b68yf77CgAGJC72XF7Rrp7JsmYmmTa8zZ46NMWPKpqqPCclJoWEIncTixf25c8fOsWMmrFaD2rVVBg50ki+fwdWrJj78UOgW9urlYPhwL8aPt7FmjZkOHVKWhHE64YcfFL74wkp0dCn69tV4770Evv1W4eBBMytWKHz3XbyHQ4phwG+/mVi0yEyWLAYDB9o9OipPnpTp2NGL06dFmvG77+LJlcvgyhWJHj28sFiEHdyKFTZatfLmtdfUDGkWXrwomgZ27VLo2NFBy5Yq06eLeruiRXV69vSiZUvnIzkhE2vXJqTog/zzzyZatPDhpZdUZs60UbOmLxYLFC+u0aSJSt++zkfNEAYrV5bgq6/8+f77eKZPt/D772K7TZqoRERI9OrlRf78OitXWti1Kw5NE/WGIJxLunf3wm6X8PPTWLPGTM6c+iPBeonbt4U95LFjJiQJzp6VuXBBxsvL4MSJOCZOtLhlaXr3dvD660fZvLkEH3/sQ6ZMBtHREkOH2hkzRhCpU6dkunb1IiZGYuZMG3nyGBQt6sfLL6t8+aVnF7nDAX37elGxosbu3SaaNzdQ1cx8+202Jk5MoHXryvj5ORk3bi+nT8dy506QW1PO29vbPSclfSn64w8Tc+ZYWLFCRK1jY6FyZV9y5tTZti3eIxK/YoWZa9dkpkxJbk23ZImo73TJ81y+LDFqlJWVKxPS9PZNK1WdUYwcaaVVK5Vy5Z7dc9f13L6IRPCfigjGxsb+LRqCffr04dtvv+X333/3sCvNnj07DoeD6Ohoj6jgnTt3yJ49YzXI6eHFurpPgf/P1HBkZCR//vkn/v7+VK1a1cN0WpKkdP2GU0NGO4fz5jW4ejUxQpYWOSpY0ODWLd9niggGBsKdOw727NlD1qxZU60HTAlJBa3TI4KFCxvkzGnw229ykoigJ8Si9lSH4UZqTTYPHz7kzz//xGq1EhQU5NZ9TOv8Xr9OhsWKX3rJYMsWlTJl7AwfXoAZM0zppvbTQr9+GqdOSezenVaHMkyfrjJsmLgng4K8GD3awp49dahQoQK+vr5cu3aN33//nX379nHhwgUePHiAYRi0aqWxc6cpmb5ly5YOvvzSRr58Fzh9uhD+/qmTwKR48AC+/tpM377etG7tR0gI7NljYfXqBFatSqBTJzu5cjlRVZWcOe1kzarx558SI0eKBTYmRuLLLxUPgXTDgAMHZEaMsNKypTdXr0rMmBFPy5Zn+flnM+3aCemVNWsS2LIlnp9/FouG0ylqtJo182b3bhOzZ9uZPTuRBJ4+LVOjhg/VqvmSI4fB8eOxfPllAn5+Bh98YGH0aCsDBzr49FPhCawo8MknQisxrUdN14U3cLVqvly7JvP11/HkzGmwcqWZFStsRERIjBjhxbBhDjZtMlO8uM7cufZkJFDoWlpo0cKHKVNsfPttAqdOmShQQOfBA4kqVXT69XO6X2D69/fmq68Ks3t3NB9/bGH/fhPffitIoKuJ4ZVXVFautLB+fTwlSuiMHWvl3Dn5kZafnVGjHPj6GixZkkDu3Dp37sicPClz755EzpyimaRUKY1t2xQuXJDZvj2ejRsTKFjQj2XLLOTOrfPtt/GPSGVFPv5Y3DfR0RI//hjvJoHffqvQsqU3qgqrVyegqlC1qi/9+jnYtMmTBMbEQIcOXtSvr/LLLwrvvuvk3j2J33830bevgxYt/MmRQ+LnnzVef70ilSoJG8h79+6xd+9e9uzZw7lz5x6dU3Htd+1KJIHCVQkqVPAlLk5iz544DwK3YYPCwYMykycnr7/bulXh0CETH34ojisyUqJPH9ExnJJrkud9knYXc3pYsUI0obRo8RxSKI/GA7xwzSL/dGr4ebqKGIZBnz59+Oqrr9ixYwf58+f3+H3FihUxm83u2kSAM2fOcPXqVcLCwp7LGP6LCGYAhmFw6dIlLly4QLFixciTitLv0xLBzJkN7t2TCApKm1iEhgo3ioIFDQoUgIsXoWDBlD8ry4KcqurTEUHDMLhw4QIxMSEULVqSPHlSrwdMezsZI4Lh4RIREVKKNYKQKKj9JLJJrgiqK5Xk5aW765FceFwk2rXYuFxcUsPp0xLFi2c8TClJ8NJLcZQte5tLl8rTooWZmjV1WrUSriNPAmE9pvLWW2Y2b3amKLdjGAahoTrFisEvvyi88opOgwY6S5YoxMdnomDBQAoWLIjD4SAiIoKIiAiuXr2KLMuEhITQpk0e5s7NxKhR4rrZ7XaOHDlCy5ZB7N8fRtu2Bl98YaJjx+T3l2HA0aMSP/5oYu9eEz4+BnXrarz/vpM8eQwMA1q2tGKzmfHzS4w6uDqZBw1KoHdvX774IoaxY+MZO9aHmTMTWLzYTMOGGhs2KBw4IDpM333XSf78Ol99pdCzpy8WSyjDh9spXz4xelivnsbcuRYGDbJy9qzMG2+ofPFFgoc+o6gL9OLQIRM1a6ocORJL/vwGTqcgcN99pzBwoIM6dZKnAPPnN2je3MmMGZ5dyq4F/coViX79vPjtNxOdOzvp3NnJmDFW3nnHSe/eDgYP9qJoUZ1OnYT48Sef2Dxkj1xwOgX5+fZbM99+G89LL2l89pmZHTsUgoIMtm6NZ9kyM2vWKLz7rsqgQVZWrrSwcOGPTJlSm0OHTHz+eQI1amgYBvTv70WbNk66dvWmXz8HjRtrrFhhpnRpnV9/VZg2TRDxOnVUPvjAyvLlwgqucmX9UVOMQr9+iSfxxx/j8fMzqF3bB6dTHHv37g7GjLGzfbtCkyaJUZRcuXT++COOzJlFNmTKFAvLlol9L15sY/FiM1OmWFmxIiEZqbl3T6JrVy+6dHGybJmZYcMc/PabCZtNOKI0aOBD+fI6mzbFP2os8rQdU1WV+/fvc+9R0fWePXu4cCEfX3+dn2XLIvH19SEmBsqX9yU2VuLUqViSWol/953Cjz8qLFxoS1Y/vGePiXXrRFpZkhI7hqdOtXtIHKWGZ0nD/vmnsN5ziVU/D7jm7RcxIvhPjSk+Pt5DU/BZ0bt3b9auXcvXX3+Nv7+/u+4vMDAQb29vAgMD6dKlC4MGDSI4OJiAgAD69u1LWFjYc+kYhv+IYLpw1cY9ePCAKlWqEJhGy+LTEsHy5Q3++ktKlxAkagkaVKyoc/CgTMGCqROs3LkTuHDBQhrZuxShqipHjx4lJiaGKlXy8/BhEE/iN+xCSAhERIjGlbSIYKFChnvhyJUrMaWcFDlzGty8KZEtW8bHkT073L6N26HD319ETUAQpfPnz3P58mXKlCmTTJgzvWc8OvrJha8lSUKSDFq00GnWTOfPPyXmzTNx4YJEnTo6LVtqhIZmbFsBAaKBZPJkExMmPO5largbNgYNMmjb1ov69e3IMowYoTJ1qsKsWYIoWSwWD6X96OhoIiIiyJ37OHPnlqZ69QvkyuXDrVu3CAoK4r33CtC8uYUBA+y0bWulQwex7zt3YPduEz/9ZOLWLYnSpXUaNNDo31/l8SCyJEHv3k4++8zM6NFOj1obgJw5dSpX1tmxw0qXLjbGjvVh0CAvDEPi2DE7nTsLMeC9e00sXGjm1i2ZFi2crFgRy4EDxyhVqhauZMfNmxKffWbm0iWZnTtNRETEepRgnD8v0bOnN/v2mahaVePQoVgKFRJk9fvvTSxYYKF1a2e6NYpt2qh07erFwYOyW3TY5ewxYYIFiwU2bEjg4UOJDz+0MmeOjZgYiTZtvBk+3MGuXSZ+/FFx1+A9DmFX6MOpUyYOHoylcGGD6dMtXLwoEx8PM2faKVpUp1YtjQkTLAQEiJq88PCHfPhhAY4cUZg40Ua9euJ6ffmlQpEiQmYlKMhwR1+3bVN4+WVBvFy2gOXK6XzzTTyvv+7jFpwGyJpVZ/p0G+3bOzl40MQbb3i7X7Tq1hXWdT4+Bi+/7MOZM4knb9SoSIYNsyBJwvasZ08vjh6VadlSZdQoO40b+3D8uIndu+MoXdpz3jh9WmbwYKu7fnLyZDurVpnJk0enVCmDV17xpW7d5EQ/KRRFIUuWLAQEBHD79m3i4sL45hsL779/hGPHotA0X7p2fQm7HU6ceEhwcCLh2LFDEL2lS23J7oeTJ2WmThU1gK6szXvveTFokCNF28yU8LRE8OpViSlTLKxdm7oI+9PAtZ69KMYNLvyTEcHnnRpesGABAHXq1PH4+fLly+nYsSMAM2fORJZl3nzzTQ9B6eeF/3ki+HfeoDExMYSHh+Pj40P16tXTTYs+LREMC9P5+GOFtm3TnixCQw327BFPecWKBitWyLRqlfrnixSJ5ejRLDxJDWtsbCzh4eHuesB798wcPAglSz45ESxQwODiRYmyZWW3bElKk5wgguLfUVEpd0S7iGD58hkfR86cBjduSO438cyZdSIiTB6NL9WqVfOQ/EmaDk4rNayq6dd0Po6k8jGyDDVrGtSsKRwcfv1VYsoUhZs3JRo00GnUSKdAASPNSb1hQ53lyxWuXwdXSUnS5gyhnC9Rp47Gjz/KNGqkU6GCzvTpCnfvilrTpJBl2e27WaRIEQYNUvnxx7zUr38IECn0Y8fOU7BgQRo18uXYMRM5cnhTo4aQhqlaVWPMGGcyl4uUULeuzuzZZmJiRF3i4+No1sygalU/GjYUpMQwJD79NJYdO8z8+KPMpEkKVatq9Otno2BB41FHduJccPy4zLx5FuLjoWdPJx995GDMGCu7d5t46SWNixdFuu6PPxTKl9c4cCDObWl3+LDMpElWKlTQWLcuIUMC55LEI1Lkzbp1CcTEKAwYkJU9eyzUrq0xYYKdjz+2kDmzaLjYuFHh668VZs+28dFHVmrX1nj//ZS13u7fFynSyEiJs2djyZ7dYMoUC3fuSFy/LjFjht09dlmGGjU0Pv4YQkJ0Nm82c/x4CPXqOWnXTpxLm03I6UybZqdOHR8mTbK7SZNhCKFsRTHYvVu4tgDUqaPx8KGnltT58xJLl1rIli3xAtaooTJokIOqVTXGj7eycGHinFm2rMawYX9SvXoeJCkz27aZGDbMC10XRLZECY08efzJlMng0qWYZFaT27ebWLTIQvv2TlatErqHH35opWlTlagoifbtvdzd4RmpYDEMg/DwLBw4EMi6dTa8vcsSFaVRoYI/drvBypU7OXYsnsDAQDJnzsz589lZuDCAFSuSb//0aVGmsGyZDT8/cR4HDbLSvLnqUZuaHp6GCD54IISsP/1U7Pt5IjWFgX8a/2SN4PP2Gc5IA6GXlxfz5s1j3rx5z22/SfE/TwT/LrikYUJDQylUqFCGHoSnJYL58ok3uvSQtAGjSBGDs2fT/k7RovHs2ZNx6Zi7d+9y9OhR8uTJQ5EiRZAkifLldebOVWjf/skL9FxEsEIF8cCmNskFBopGDhCLS9asIpKXtA62WDHRTPLaaxnff2io2H+1aq7uQEHE9u49gMViTrHxJXNmEd3Klk1M5qmliENCDC5ceLLJMTVnEUWBl18W0ht2O/z0k8z8+bJbN7JQIYOyZQ3KlzcoWtTwKFgfOlRjxgwTn3yiuiOBrn257tkuXVS6dbPSqJGI+nTtqrJ0qcL776deR6RpEBwcwZw5BdB1X65f9+PBAyeybCdr1nscOxbAzJnH+eWXvKxcqeKVll1LChAyOypLligMHKhiGCLdvnWriT//NJEjh0GJEjo9e6rMm+ekUCFv+vYVk+/GjXGMHBkHGI8kalwk2+DIkSwsWuRHjhwwaJBnA8jAgXZeecWH3LkNdu5UKF1aY9++OIoXdwmIS0ycaMVsNpgzx0b27E/28hMcDEOHOqhf3we7vRwJCV6MHu2gXj2VPn286N/fQe3aGmPHWpEkg8mT7fTvLyzGqlVLed6IjJSoUMEXWTY4ezaWzJlh3jwzDx9KXLokM3Wq3cOT+cYNIWnz6ac2SpXSqFvXF/Bmx477uKb7zZsV3npL5fvvFXLlMtxkG8BsNqhcWaNSJY3GjX1o3txJ3boaWbPqxMVJnDsns2aNmevXE59jHx+xjZ49nZQrp7FsmZk33/Tx2Oby5TaaNlXZt8/Gw4cyY8Z48f33JkqV0lmwwMZPPylUrOhH164OPv7Y7vECZBgwZ46Zc+dkGjZU+eEHhcmT7QwY4MWoUQ62bFGYP99C374OPvrInuEXtF9+Ufjhh/x8840NLy9BqMqXD3zUCBZLYGBlEhISHtWG21mwQGPMmN+4ejUTwcHBBAUFoSgKZ87IDBtmZelSGyEhIpo8apSVkiX1J67Ve9LGjPh46NLFmw8/tGe4ZvlJ8CKKScM/3zX8PGsEXwT8RwQfg67rnDlzhhs3biTzlU0PT0sEJUk4akRHk6YheFL9QNezmVa3cWiojdWr0yeCrnrAS5cuJdMHLFAALl3K2HE8jgIFDH780bNzNDW4yNb58xIVK+ocOiTz6quJn69UyWD27CcjXlWr6sycqdCmjdiO0+nE1/c+TmdWqlcvmOJEUrq0wfHjIgWdLZsgpCnJJYaGwg8/PNl4MiIobbW6PIfF/3UdLlyQCA+X+PxzmTNnJFRVRACzZzcIDIT580VUK0cOg4AAmUyZBLkODBT1kUFBog511y6ZrFkN/PyEtEX+/AaxsRLR0fDggcSDB+Lvhw8hISGOoCCZQoWc+Pn5sWiRqxbRimFkp1ChWLy9/Xn40M62bQfInt3i7kIODAzM0CT96qsaOXMKEeYTJ2SKFtV5/XWNQYNUNA1Wr1Zo1syL5s1VqlbV2LfPxJIldk6eNPPqq5K7ttBm09i0SWHNGhO5cwczdWo0uXKZH41BjOPqVYlBg7w4d87EuXPw559xbg/h2FiYMcPCqVMyo0Y53D9/Uug67N9v4tQpE+DPli3XgMwMHOjFvHk2AgIMOnb0onFjlVKldPr1Ez93pWAfR3Q01Kjhg9ls8NdfcQQFiZTu2bMyDx5IDB7s8HAXMQyoW9eHSpU0OnRw0revlddfd3DlSjQdOwYxapSQxvnxR4VZs2y8/74XuXLpHrXJo0Y53ALIN26orFxppl8/zzkkKMggRw6dYsVEo0irVkK8eeFCCw0aJBJAPz+Djh2dDB9ud4uA79mTmRUrchAba2LgQAfvvqtSv74PFy+KBpq6dT3nz7g4GDLEiyJFdLy84M4dIT00bJiQv/nwQyvffmtmzhzhipJRfP21wvr1ZoYO3YOXVy2io6FMGT9k2eDo0Th3baGPjw8nTvixdq2VzZvjMIxCREZGcv78eWw2G9HROViwoDiLFkUSEuKNYUiMHm0lVy49RW/t9PAkzSJOp9Ba7NMn0QP5eeNFlI6Bf1ezyIuA/3ki+DxD1jabjcOHD7ut4nxSKzJJBU9LBAGqVRO+pQ0bZvyBLlpURAVTa1qwWk1ompFm40PSesDH06QgvmcyiVRoRp0Sko5v1iwpQ0QwZ06oUUNn5UoTc+aobN8u8+qrib/38hITX0ZkdlwIDcUdQb169SqRkZGULJmduLiiyHLKYylbVmf/fpn69TXKlNE5fFgmR47kny1Y0OD8+Scngk+qIyjLopmmcGHDXQZgGKJr+d49Qd5efVVlzRoTr74KDx7IHoTOVXt5+LDEmjVeDBjgJFMmsZDv2mWiaVOVUqXEi0imTODt7eDChWM4HHbKlStHXJyTgQMtHulRSZLo0EFixIhcj4SlaxMWdpuIiAiOHDmCYRhkzpyZLFmykDlzZo+o6/37os7qhx9M3LkjIcvCBvCbb0S0cv9+mcGDhZ1co0Yab72l0r+/k4IFDXLk8OHWLYmdO0307q3idMosX67www8mXnklmgED9lGkSG5y5TK7xaxv3JAZMcKXbdssFCyosX17PFOmWCheXMcwYMsWhaVLzfTt62DMGEe6taGp4cEDIWVy+bLQGzx3LoGvv/bHbjezbl0C0dES777rzahRdmw2ibFjRSPE4+lPFxISoGFDH2JiJA4fFiTw8GGZTZsUypfXKVtWT5Zy3LhR4fZtmT17Yrh8WSImRpD8Dz/cQ6lSdZg505s5cyR27VIIDISAAINcuUSTwSuviG2VKKGzfLnQMgwPFy8OjRsLZxuz2SB/foNKlTReekklOBgOHpTp1s2LX35JnBzy59epW1dl6FCHu0zg2jUhn/LLL6UoXlxjwwYHV69K5M/vR+HCGlevxiR7CT59WmboUNFU8+WXZjp3dnL/Pnz2mUhrt2vnzalTMt98E0+dOhmfdxctMnP0qMy8eZEcO2Zw/74ggWazweHDcR6d2rt2mZg92/JILFwGhPwMwJEjdiZP9ub9949z+fJdrl83s3ZtWfLlc9Cjh8zTLK8ZJV66Dv36efHWW+oTHfuT4kX0GXaVGf1bUsMvAv7nieDzQlRUFIcPHyYkJISSJUs+1U32LEQwLEzn669lGjZM+3P+/mLRCQwUwsEHDqROBGVZJkcOJ1evmsmXL/nvH68HTK0Gsnhxg1OnJEqXfjISExAg3uhVVUo3Gla/vs79+zKbN5soXdpg+vTkK3Lp0gZHj2a8TlBEWnX27DlNQsJNsmbNSt26Dr75RqZJk5THUq2aIK8Ar7xiMG+eicaNk39WlsXx3bsnOpozgtRSw08KSRINMLlzCxePYsUMhg71ok8fDUj5/jMMeP11KxMniihFy5Yan3xiplGjxGNLSEhw3w+VK1dGURS8vQUBf/gQjwUyRw5ByqtW1Rk50kKnTtnJnj07hmHw8OFDIiIiuHLlCsePn+DevRwcP56HEycyERCg8PLLGmPHOsmZ0+DBA6hTxwsvL4M//zRRubJO796qu3GqXj2JmTPNzJ/vYOBAJ+PHmxk+3Em+fKI2sVMnlfnzz3PhwllKlizp1tW6e1dnzBgLa9ZYyJVL48cfH1ChgkjTNWwIEyeaOXnSRKVKOps2JTyT+8KpUzIDB1qx2SQaN1YZMsRB/foay5cHER0dw6VLEv37ezFzpo1Ll2RWrTKzZk3qzQy6Dp07e3H6tMyRI3FkySLIyujRVnr3drBli5mhQz07Q1UVunb1ZvRouzt9XKaMjsOhPbJ5g6lT7dy8KVGsmJk33vAmIMDg+nWZWbMshIba3Gn0kBAjmUezC5omXFaGDPFi06bESGHu3DolSuiPvmunYEGxrfh4mDfPwqJFZsxmaN/+FN27B9G+fTaOHDGlGslbu1ZhyxYz7do5WbPGzKRJdhYuNJMzp0HXrk4aN/bGxwf++iveIzWeFgwDxo8Xc9ynn9qJidGJiPAmXz5/cuTQ+esvTxL4448mli83s3Jl8jrRs2dlRo/OxJo1NrJmLYGqFuX99yWyZImhdu1D7NqV4K4tDA4Oxs/PL92ghcsCMj3i5bK0q1ZN4/XXn49MTGp4ESOCSctf/gnExsa6Xwb+LfhXEMFncWwwDIPLly9z/vx5ihYtSp48eZ46yvgsRLBMGYMJEzJeJ1i2rOgcnjtXoV27lCdCk8lEsWLxHD7sR758np9JqR4wNZQvb3Do0JMTQYAqVQz275fSlZCpX19n9WrxYJ87J2G3J6/Pq1lT1AmWL5+xc+xwOMiZ8w5//gm9eoVx5coVcuWycemSlGqU1GoVQtCRkSISd+5c6p9t3lxn40aZXr0ythA9jddwakjaFJIli8zDh6mPU+xb6B5euSKRL5+I7Fy7lvidlOziXHjtNY1vvzXRpo3neW/eXOPXX2VkmSRlDRKRkZn4/fdgfvutOJGRBvnzx1Ku3E1q1z6It7eJkJAQ7t7Nxrp1Wfj1VzNnz8pkz27wzTeetWEgrkFUlLgetWtrzJxpZvx4Cz4+Bl9+aePChXNcvnyTihUrkilTJuLjYdYshYkTLXh5GXz9tY169VQMQ0bXFeLidK5fl5g3z4t9++5TqJDx6N6Unmph2b7dxPTp1kdyLMIFo2tXL1577SxvvqnSo0cm7tyRWLTIxvHjMqtXm1m6NG3br6lTLXz3nZnvv48nNFQ8c6NGeTFihIOpUy2sWpWQ7Dp/952Yynv0EATu8GETtWppVKniSehy5jQYNcpOqVI6FovhruWrWFFEOBo1UnnpJZVMmQzMZpGKDQ83sXu3idu3Pc9P6dIaYWEa587JVKmi0amT023Zp2lCa2/GDAuRkRKNGmmMHWtn3jyNsmVzUrCgzoULsWTJ4jmnxMbCiBFWsmUzqFhRY8cOhQkT7IwcaWXAAAdnzsg0aSKEtFeutJE5c8bmJFUVdm+lS+t07y6I5+nTJjp2rEfFihrbtsV7dGt//bXC5s1CBubxa3XunMTgwVaWLLGRNavIuHz0kfAy7ttXBqqRkJBAVFQUkZGRXL58GZPJ5BazDgoKStH2M6NSLR9/LFxeUhNYf554EYngP61tGB8f7+Gm9G/Av4IIPi1UVeX48eNER0dTuXLlZF5+T4pnIYKutGtS3buUUL68IFZlyyZqCaY1nmLF4gkPl3jjDfGztOoBU0OFCjqzZil06PDkJOaVV3S+/VbmpZfS9tkNDBSERFEMvv1WpkABMeEmldSpVk1n9WqFPn3S329MTAyHDh2iVq0sbN1aCm9v3e31W6KEzsmTUqqd0K+9pvPVVzJdu+pUqaKza5fESy8l/2zTpjpNmpjp0UPPULr6eUQEXVGDx5tC8uTRuXFDInfu1Ldft64gbi7Jl8KFdc6elQgIuMnJkycpUqRIihqZTZpoDBhgSUYEX3lF4733LJQoYdC7twV/fyEHUqCATu3aOp984niU+rQC+blzJx9ffOFk2zYZb+84wsIOM2qUSo8eufj112wpdkgbBuTObZA3rw/dujkpUUJHlqFZMyfLll2hRIl7VKlSBavVh5UrTfTqJVbtBQvstG2rPbouYsO7d5uZPNlM794OihePZ9cuK4UK2TzuS5cbSkYWv6VLzXz9tYKiCJeRAgV02rXzpm9fBz4+t3E4AhgzxszXX8dz5owggUuWpE0Cd+0yMXmylXHj7G5buZ9/Fr7B4eEy7ds7PTTtXFi2zEzduiqBgeKcKYpIw4eEGEREeJbQ9OrloG1bb8aPt/PwYQx//GFi+nQLO3cqbN8u/qSE8uWFa4nJBOHhMpoGYWEakyYl2hHquki3f/qpkLapUEFj0SJxzIUK+QFlWLYsipYtk09ye/aYmDjRwjvvONmyxczrrzspUkRn3DgrM2famDzZyoYNZgYPtjN6tCPDJSJxcULG5c03Vbfd2969Jho0yE6tWrf55htfj2198YXCzp0KS5bYks3F586JWtMlS2xkyyZI4NixFkJCDPr2TSRm3t7e5MqVi1y5crllmaKiorh06RInTpwgICDATQxd0cLULO+SYskSMw8eSIwfn9zN5O/Ai9gsomnaIymuf6aT+b8awX8RkqZFMyINkxE8CxEEKFvW4PBhicqVU1/M69fX6dZNoVs3/RFxSp08yrJMaGgca9cm+gWnVQ+YGkSt3VMcECJ9PX68TN26afsNA4SFGURHG8yebWLDBidffikzcmTi+QwMhIcPpXTJskskOn/+/BQsWJAlS2QSEnR3VPL110Ukr2TJlK9V8+Y6zZub6dJFp0sXjZEjFV56KXkKRlHgzTc1VqyQ6dIlfZL8rF7DrtqYpNZYrsnQFe1LiwhWqCAiyK70cc2aGlu2RFKlymnKlk3dLi4oSNQc6jpu79Xdu038+qvM118rXLqkc+WKxIEDNndEyIWHD2HrVhNbt5qwWqFZMzNbtmh4e2ciPt5CREQEinKD3bv9+P33cLJly0JISAi+vkFs3mxm7VqFatV0SpfWmTnTye+/a7z6qhft2p3mq69y0qFDTvbu9aJLFws3b8oMG+Zk6FCnR9o1OhrGjBGpyfXrhVuHqopUebt2Ot7eibqLSc+vi2RLkme00DBg3DhBdDQN5s8X3aIdO4oaQJFu9mHx4swcOBBHgwbeFC+us3lz2ino6Gjo3duLWrVU+vUTkTxNgzlzLCxebKN7dy+++ioh2fdcdnmTJiWSA0kSJPDOHSkZYfL3h+XLExg2TKTk33pLZe1aoX136ZJMRISEpolmj/v3JW7ckDl+XOb8eeEo8uqrKp07Ozxq+ux20ciyZImFK1ckChfWWbgwgcqVdTp18uLXXxU6dHDQtOkvVK9eDjB7fHfiRBE5bNlSZeNGMx99ZGf5cjO+vjB2rJ2WLX24eFFi/fp4GjfO+BwbGSnEpwcPTvRr3rpVoW1bb3r2fECzZscwmRJFeZctE/WDCxYk1wl0kcDFixNJ4LhxFoKDDfr1Sz06l1SWqVChQthsNiIjI4mKiuLKlSuYTCaCg4PdGrWpEZxNmxSOHJGZMye5m8nfhRcxIuiqW/wnieB/NYIvIJ50gXURhXz58lG4cOHndkOZTCbs9qd/U6teXWfPHpnKlVOf6Pz9xSKWkCBs3EqUMDhxQqJcueTHbzKZUBQ7dnsi8fX29s6wX7AL6RHOtGAyiS7DBw+s6RLBhg11tm+XiY4WEc+pU2UMQ/OY9F55ReeHH1Ku8Usa7UwqEv3aayIqWaGCSM3WqGEwaZKMw6GlqDdmtUKVKjq//y5Ru7bQ8rtwIWUXl06ddN54w0zTpnoyXb7H8awlDC6y8jgxAaH95vKHTQ2CLCZ6YpvNZzh8OJjevSunObHdvSs6lxs1suLjI65nzZqilq9wYeFgsmCB2U0CbTaRMv3qKxN2u4goLlzo4HEtdh8fH/LmzUvevHl59VUTDx6UxsvrNvPmxfHXX940bHiHWbN0cufOjGH4s2ePTIUKD8mcGf74IwdOZxDVq8ucOiXToIHGL78kJOvA/fFHmZkzzYwZ46R69cR7RlGgc2dhrda7t+qOeui67j7PLuINuM+5YUgMHSq8xu7fl1iyxIaPjyCBo0fbqVhReEHPnl2Uzz67h49PZqKiZEJCtDQ9ZgEmTLBis8GsWYkk5KuvFBo3Vtm2TaFtW2eKUdMHD0DXE18CJEk8q/XqaSxZYuH115OTi8yZYelSG+fOSXz/vcLy5WYSEiT3syaiigahoQbly2t07+5IUdfy9m2JVavMbN6sEB0tkT+/sMarVUvjgw+stGplIU8enRMnYsmTx+C33zSPsRw6JDN2rJW333aye7fC1asSw4Y5GDnSypAhDi5flqlf34eCBXXCw+MpUCDjz8+ZM0J8eupUu1vQeeFCM0OHinrNZs3uezR8ffqpmZs3ZWbOTE60kpLA7Nld6WALmTJB//5PlqL18vLyiBY+ePCAyMhIrl27BkB4eLg7Wujv748kSfz8s4mtW0WU8v+T/7yIzSL/dJTyPyL4Pw5d1zl79izXr19P0U3iWWEypR/1SgtVqhisXJn+U16njvDlbdRIp1Ilg4MHUyaCrlRopkwJfP99OGXLZk23HjA1lCkj9uPS5HsSvPyyzuHDIR4LcUooXdpwE7Ndu2RKlNA5cUKiVKnEfb79tsagQUoyIpiWSHTLljo9eypUqiRSs5IEzZppfPWVzNtvpzym997T6NlTRAJHjtQYP15hxYqUo4JTpqj066ewdq2apgB0enWSqSEpCUztTVhRxAtCWnCNzWUXlzkz2Gyl8PPzXMhu34Y//jDxxx8yly7JZMkiNP1CQw2mTHF6LEQ1amhs3KgQGGiwcaNwFomIEDVh06c70iXHLjRqZFC7dg5efjkrXbs6GT/+AVFRNiIiIrh8+RQlSmRh7tyCdO26n9atKzJvXmJJw7ff2qhb1/O8xsfD6NFmZBk2bbKn2JjRvLlG06ZWunVLdD9JmhZOan2n66LxYvBgXzJl0jh2TGHZMmGp1r69L6NGCRIYFwc9e3oxYMBRMmXKQe/eXoSHx7JunZnVqxW3qPPjOH5cZts2hVatVA/tw/XrzSxfnkCnTt6sWpU8GggiamixGNiS9I8ULaoTHw/378ucPRtEvXopn/fChY1HRCbjZMZuh59/Vti4USE83ISmQblyGt27O6lQQWPGDAutW/sgywY7d8Z5SJuI508iJkYQ34cPRRRw3bpEq7iVK83Mm2dj9GgrX39tpnNnB5Mn29Ml0knhEp9eujQxejd6tJVPP7Wwbl08r76qce+e/ujlDCZNsjz6OzkJdJHVpCRw/HgLAQEwYEDKTTUZhSzLBAUFERQURM6cOdm7dy85c+Z0E0NJkrh5My9r14ayevVDFOXZM1dPghc5IvhPIT4+/r/U8P8q7HY7hw8fxul0EhYW9rdcyGdNDbtSn+n53DZurDF7tuJ2ipg8WUkxNSnLMg8fPiQo6BKaVpqiRTM99dhattRZtkxOVfg2Lbz8sk6PHpnR9bQXG1dDQ+HCOrNmmZg0SWXDBplSpRL3mTWrqENK2q2bkJDAoUOHMJtTFokOChLR0xs3rPj4iPPUpo1O27ZKqkQwe3ahXfjddyL6GBgIe/ZIhIUlJ8KlSxs0bKjzwQfJ7d48j+/JI4IZIYEg7ptChdInmU6nyr59+wkKykSJEiUwmWRu3pTYtUvmjz9krl2TyZbNoEYNYQ8XGiqI8/XrEtOmKR73pa6L/c6YIcLEcXESs2c7MuSp6sL9+6LD9cABMbFv2eJaiP0JDPQnf/78OBwOLly4wOzZOvv3Z2XxYsEuCxRwkC2bTO3anscdHi4xcqSFQYOcvPJK6ufEZIK33lJZt85E+/bJr1tS6ztdh4EDzeTKpbFnj8LChbH4++v06uVHly4JlC+voWkSffr4MHiwA6s1galTg+ncWUjfjBjhoF07L0qX1ilXLvmYZsywEBRkeBCLq1clsmXT0XUh2pwaEcqUCbJlMzhyxESrVoJoDhzooGtXLz7++D7duxclZ07lmTpMY2Jg504h1XP8uImHDyV8fAyaNlXp0MFBSIjBRx9ZadJEMO7UJF0Mw2D7divLlnnToYOTH35QuHRJYuxYO+PHW2nXzkm9ehp16/qQkCC5SVtGYRgwe7aF8+clvvhCpOLtdnj3XW9++EHhp5/iqFrVZQFooOsm+vWzUry4Tq9eyeennTtNzJsnGnQyZUrsPPbzE+f4ecIV6Upq+fjXX/EsXerL++8f4MCBBwQEBBAcHEzmzJkJCAj429Oj/3T0LSX8k64ihmEQFxeX4bKq/xW8WFT/KZHew3D//n3+/PNPvLy8qFat2t/G5k0mYV/2LAgNNdIVcC5YUKTqRCE93LiR/DNOp5MbN26QkJDAW2/l5siRZ2t3L1nS4PRpOd2oU0rIkQPu37eiqukTlebNdUqXNvjjD5kiRQwOHJCTWb21bq2zYYOYCKKiovjzzz8JCgqiUqVKqaa8Bw/WWLw42B2R8/MTNZk//ZT6vTNggMann5pISICxY1XGjlVStL8DkSK2WGDq1NQnqCchgq60pKZpbkmJtO7z69clcuRIe9v37t0jJuY+khTK0aPl6NPHm23bTIwfb0ZVYehQlS1b7Cxc6KB9e438+Q038cuVy3C7SVy6JDFunJnXX7fy668mChXS2bxZ+NhmlATGxcG0aQodOwoZjK++sjNwoJMjRzyP0TAMrl69ypkzURw8mJ3x46tQsaJKlixOMmWKJTT0PEuXnuXSpUs8fBjDwoUmPvnEzJo19jRJoAtt2misW6eQ3vvbmDFm8uc32LPHzNKlKrlzm5kyxY+XXtKoX9+Jpml89plC+fIOwsLs/PVXELoOTZuKB8Zkgk8/FVGuqCjPbV+4IHHxoigJCQlJPH87dgipnePHTZQtmzahrVxZ45dfTO77M2tWgw8+sDNwYAAdOpzm2DGZli29+fxzJd0SAsOAK1ckvvtOYdw4Cy1betOkiQ9Tplg4etREwYI648bZ2bEjnnfecdK7txf58vmzbp2ZH3+M5+HDmBRJ4LlzElOmVCI83ELz5ipr1pjp1k2QqfnzLcyYYWP/fhONGvlQsqTO4cNxT0QCExJENNZsNvj0UztWq9DaLF7clx9+UDh4MNZNAkHUZI4dW4pGjbQUSeCmTQorVphZvVqQQE2DoUOtBAcbDBr0fEkgJHcVuXbNxPjxWfj8c5m6dStSo0YNcuXKRXx8PEeOHOGPP/7gxIkT3Lp1C4fj+Y8HXsyI4D9NTv9LDf+PwTAMrly5wrlz5yhSpAh58+b9W9+gnjUiCIl1ggUKpJdG1Tl+XEi6WK2iLsslf+CqB5QkCX9/f6pV82HCBPnRm9TTj61uXZ1ff5V4+eUnTw8XKRLH4cNmcuVK+3OvvKIzc6YY5JIlJipU0Dl0SKJixcR9Nmqk06KFmddfv8zp06cpWrRouu38pUoZxMXJXL9uplIl8bMhQzRatzZTr54zxfPi6yvI4AcfmJg+XWPwYJWRIxVmzUqZDY8ZozFxookRI0xMnJj8XGc0NZxWU0hqOHPGs8M6KR48MNi48T7ffSexb1921q0LoVYtjdGjnUREwIIF6S8iNhv88IOJt96yEBIC7durfPCBSBM/fAg+PkIAOD04nbB8ucKWLSZ69lQZOjQxFdeokcYPP5goV06cX13XOXHiBN99Z2H16rrubfz0k8bnn0OPHsFMnmxi0SIoWfIUffoEUqDAZUaMiEHTQtC0zOkuGFYrNGyosXWriWbNUn5258xRUBTR1Tp9uoOcOQ2+/dZMQoJMly4aum7h6FGZPXvMLF8eS2SknS++yMvq1RE4nUFuEp85s8z48Xb69vVi9WqbO1W/bp0ZPz+D1q09ycjRozL9+zv46y8TuXKlfd/07OmgSxdvRo2yMmOGOKeVKunMmvWAQYMKkju3TIcOTu7flxg50kpUlKgHNJtFOYbDIfQ+QZQYOByuPxKBgQZly2o0aKBRp44Ql96wwUyWLCIqUquW6mHV9zju34epU63cuSNRq9Z1DhwIIXt2nb59HYwfL7QRGzTQaN5cCIZPm2ajRw/nE9XC3bwp0auXF337Cg1H1/mrWdOXggV1Dh3yFKy+elWib9/sdOhwhtdeK5xse4sWmTl+XGbpUhuKIqKKvXt7Ub++yjvv/D3afUlJ1927Er17ezF/vs0tsWO1WsmRIwc5cuRw63VGRkZy/fp1Tp06hb+/v1u3MCAg4LkQuH86DZsS/ukxxcfH/0cE/1egqionTpwgKiqKSpUqEZSS5sJzxrPWCIIQlp4+XaFt27S307ixzrZtMqVLa5QrJ+r3atQw3PqAefPmxd/fn8uXLyNJUKuWkEGpU+fpu1bfektj4kSFl19+8onwtdfu8sUXhdL1CpZlIcsiSTB6tMKBAw4WLjRRsWLiPhVFJ2vWCL777g6tWlUkODg4Q2Po2fMBCxbkoVkz8f+AAFEruHq1TMeOKZ9vcZ4VfvlFokEDgz/+MFi+XKZTp+SfF2PWWLtW5u23FWbPVj2Ib0Yigq5UcEakJFyIixNRIVcjj2HAyZMSP/xgYvduGYcjhuLFo5kwISsmk8bcuYkOGukttkeOSKxcqXDpkhjHZ585krlhFCumEx0tcfduukNl+XIFLy+DrVuTe8JWq6Y/SjOrOJ1Ofv/9OHPnFuDIkWwUL26wdWsCQ4ZYcDqFtqEsG5w65c3Rowpjx1Zm9Gg7JUsaRETEc/bsWex2O0FBQW7ru9Scgjp3Vmnb1sobb2jJzsf27TJnzsjoOrz3npNSpQwuXZJYvFhh40bRGKbrMqNHW1m+3I6qOnn//Xi6dHGQJ082D6kfgNKlZV55RWLiRAtjxggC/tdfJsxmqFzZ8566eVM0gPz1V/rXqWpVnVatnHzxhRlFgYkThaRLzpw6Q4YcJk+eOnz1lUjBq6qEr69BUJCByQTx8aKzOCZG3DsWi0GJEgZlygidwDx5DGJj4aefFGrW9OXiRXEvfPSRnU6dkjcBuWC3iy7c7dsVunRxsmOHzMGD2RgzJp4lS3y5elVm2TIbn3xiYcECC1Wranz5ZbxHjWRGsG+fzPjxQmLG9d3NmxU6dvSmbVsnn35q83BFCg+X+fBDK+PHX8FiifPYlqteUFVh9mxBqGNioFs3Lzp2dNKo0d/n4uFqBHvwQOzvk0/sqdoPSpJEYGAggYGBFChQAIfD4dYtPHbsGIZhuDuVM2fOjPUpFdN1XU9R8/CfxD+ZGtZ1/T/5mBcVj0dL4uLiCA8Px2w2U7169ad+CJ4UzyM1nDeveFtND9WrG8ycKT7XvLnOZ5/JZM16msuXL1O6dGmyZ8/O3bt33YvQ229rfPyxQp06Tz++fPlEbZ6rY/lJkD+/kwcP5Aw5cbRrp/H112KxuXULIiJE+jtXLiESffjwYV5/Xebzzyvz3nsZXzRKltRISDBz6lSiG0vnzjpNm4qu39TE4idPVnnrLTP58zsZO1ajfXuF0FCDunVT3nebNjoVKhi8956Z11/X6NRJR1HSJ4IZrQd8HFu2mKhZU2frVhM//ihz5YpotKlf305Y2GFA2MV5P7ponnV+yfehqvDttyZWrVIoUECna1eVEiUMBg40Ex8vJRPxLVLEYP9+OcVtPY7u3VO//xRFRKiiouLZsOESixeXxen0oWdPlUGDhH5drVoau3bJ1K8vtAqHDzdjt0v072/npZfAZQFWtGhR4uLiiIiI4N69e5w9exZvb29CQkLIkiULmTJlcpNsf3/RJb5zp0y9eolk7MIFifnzzbzxhsadO6KrXddh8GALs2c73A0mCxYovPWWiskUxbZtZ7h/vxJduihuAfGk5N4wDNq0SWDMGB9WrJB49VUNPz+Rgn+c8+u6IGhZswoNwfQwZozQ1lu40MLu3SZGjHDw0kuiOaNAAYPBgxMjv/HxEB0tkZAgLP58fAyCghLHoOtw8qTMhg1mZs608PChuLbt2jlYt85JsWKpv6g6nfD552Y2bRLn5aWXNJYvNzNggI116+KYPDkHY8Y4uHFDomZNH27flpkxw0bnzil3RacGw4C5c80cOmTi888TCAwU4x41ysq8eZYUXUu2bTOxfLmFlSsTiItzEBmZeM9qGgwZYqVw4cR6wYgIIT/z/vt2j7Ty3wFd13E6Fbp08WbMGDtFi2Z8fxaLhezZE919YmJiiIyM5ObNm5w5cwZfX193tDCjXuCuMb1oEcF/MjUcHx+PYRj/uhrBfwURTIo7d+5w7Ngx8uTJQ+HChf9fb+LnkRoWtmjCUiqtIKbZLBawiAgoVMjB4cNOrly57dExmzRCWbAg3LzpmUJ+Grz6qs7338u8+eaTTYqyLPPmm/dZvjwnw4alfY4CAkRN4q1bOkOGKCxerDJzpokPP4zm0KFDBAQE0KRJaf74Q2bvXj3DncyyLNOt23lGjKjGV1+JDl8RPVEZMEBh1So1xciLry989pmT7t3NrFvnZNEilXffVZBljdq1U953sWIGW7Y4WblSpkkTM23barz6aurOIk9KAnUdjh6V+OknE2PHWmjYUKNRI5G+Dg01iI+P5/Dhw3h5eVO6tLCL0zSQpNTPVXQ0rFwpGgJee01jxQq7h+WWv79wfngc2bMb3L37fEouihWL5403DGJiSuHvb2HaNAdhYYnnrEEDjTVrFOrX10lIALtd4pdfbKxcqdCpk+d95evri6+vL/ny5UNVVaKiorh37x7Hjh1D0zQyZ87sjha+9x707m2hXj1Blux26N9fNJzMn29m/XoR/VuyRKFhQ83t+BEZCb/8YmLevMuEh5/kxx9r8dFHFvd5TtpwAonyNBMm2OnWzZvTp00EBGhkziy8kZN2LQcGCleVsmU1liwxk15nryTBqFEOXn5Z5aOPrLz7rjd+flYqVy7L1asKRYvq5M5tkCmTSAeHhIhIX0SE6A6/cEFm714TGzcq7jSxl5doYGnZUk3Xys3hEG4i69ebadFCiDdv3CiigQUK6EybZiUsLJahQxMYOdKH7dtFDeSOHfFp6l+mhKgoGDDAixo1NJYtE5IqsbHQtKkPBw+aPJpCXFi0yMzhwybWrEnAYoHY2MSaPJtN1Bc2bqy6G26uXJHo08eLadPsqaa9nyfi4w2mTCnNsGEOKlV6+v1JkkRAQAABAQHkz58fp9Pp1i08fvw4uq67I4XBwcF4pbEg/NP1eCnhn0wNx8WJCPJ/qeEXFLquc+7cOa5du0apUqXcnqP/n3geRBCE3+2+fbKHD2xKaNRI55tvHBQuvI+wsAJER9fA3z/xAXHJxyT9/PbtMs2aPf0k06KFTr9+ylMRwerVY+jXT2bQIM0jVZMSevbUOHBA4a+/ZEJCDM6edbBt2yEqVMhFwYIFkSSJIUM0evdW2LQpY1FOSZIICbHx2ms6ixfL9OghjqFCBYOSJQ3WrJFTtevLm1cQxg4dFFavVlmzRqVdO2FZ9uqrqVn8iYhjmzY6n38u065dAF5epZBliVq1RG2nK0rkqglMjQQ6nXDihMSBAyb27ZO5d0+idGmdmzclJk920K9f4jm4f/8+R44cIUeOHB5yQefPS24P2KS4eVNi1iyFCxdkOnVSU0zbgnj5SKkmPUsWg3v3JCTJSLfjPS2cPn2XhQtzEhMTQJMmKvPm2Xlc47pECYOTJ2XmzlXImlUcy+XLEjdvChHk1NYsRVHImjUrWbNmdUdMIiIiuHHjBqdOncLPzw8/v7L8+adOWJgPEyZY6NZNZc4cM/PmiUjbnTvw/fcmNm9O1AqdNUuhTZtrnDlzinz5yvPwoR/lyqVec+kiemazeLnImtWPkiU1WrWyJxOzLlZM5cgRibp1jUed8lIyS7aUULWqznffJXDihMzGjTpff+1Pr14ZC+FXrKgxfrydSpU0ypXTM+TB/PAhrFxp5qefFJo1U2nd2sm6dWaaN1cZONDBvHkWwsI0Vq2KZcwYPypXDiBrVoOlS220aJHyy1da2L9f5qOPrIwfb6d8eXG+zp2TqFjRD4vF4OTJWA9iqarwwQdW/P0N5s1L1OFzpWIfPoRu3bzp2tXBK6+I+fLECZnhw63Mn29LNT37PBEfD337ZqV583PUrZuCYOkzwGw2pxgtvHXrFmfOnMHHx8etW/h4tPBFjAj+k6nh+Ph4FEX5f8sy/n/hX0EE7XY7Bw8exG63U61atX+MrbsicC6trKdFWJjOli0yjRql/bny5e8wcKDEp59mY/DgnPTvb6Zly0RC8HjN4ptv6gwerDwTEcycWUSj0otYPg4xmeg0barzzTcyLVqkPYYiRQxy5DDw8zPo3dtOgwbH2b27Kq1aJb69Zs8OxYsb7NwppZqmfXwMuq7TtatO8+YKr72mkzu3+N2QIRpvvqlQrZqRao1SxYoGI0dqtG1rZvVqJ2vXCv3As2cl+vdPXl/mgpcXdOmi06ZNAp9/fpEjR3Lz2WcmnE4h+xEaqhESIuHra0JVJVQVbDaJa9ckrl6ViIuTkGUoWVKncmWdCRMcZMsmuncHDrTQq1fiNb958yanTp1K0S5u927ZI0oSHi6xbZuJoUPN9O+vUqVK2hEnRTEeRYo8z09AQGLDSFyc6Mh+EhiGwQ8/3OKDD4IoXFjn0CFYuzZ1C7GffzaRM6fB2rUOqlWT+eUXE5Ur6xw4IGcofZc0YuKqr4qMjOTNN68yZUoIjRqd49y5wmTKBA0b+pErlzjeKVPMjBqVmL6MijL46694Xn75FOXLV2LlymDatcv4i6Cvr8z48Q7GjLGwd6+VQYM8xawbNLCzbJkXNWvG07u3cN+YNSvj3aElS+rkyfOQ+vWPULNmLSIjJSIjRQ2aJAnSHBxsEBxseER+M4oLFySWLbNw6pTMu+86adFCZdMmhaZNVYYMcTB/voXixYXF3M6dJmrVCuD69SAGD7YxZIiTJy2zcqWCw8MTU8EA69YpdO/uzSuvqKxeneChGRkZKZo8WrRIjPQlbs/g9m0vRo4UqVhXjebevSamTLGwYoXNo4v770JsLHTq5E3HjrfIm/fB37qvlKKFUVFRREVFceLECTRNIygoyE0M/+nGjJTwT0YpY2Nj8fX1/cdcTf4u/CuI4IMHD7BYLFSoUAElvVDT3wjXzalp2jONo0wZg3HjUr/RDMPg/Pnz3LhxGUmqT/78IZjNYnJPWoP3eEQwa1YR0YmOhmexVW7eXHjxdu6ccULpImHt2ml06KCkSwQBunZ1EB2dwM6dwUycWIzff/cjMlL1qOUbOFCjUyczdeqk32XoGoMsw7RpGn37KmzYoGI2ixTxggUqnTqZ+fxzZ7JIlAtVqxqMHavyzjtm5s938tlnKnPmmHj3XYWZM9U0BZQlSSJ37lg6d1YZNEhCVTXu3hWELipKSH94eYmxWK06tWsb5M1rpLhgRkSIVOZnnzlQlERXlWvXrlGuXDkyp1Dw+MsvJhYscHD+vMQnn5j5/nsTrVurLF2aMXIRFyeaDJIfl/jbpdn2JERQ13UWLrzNqlVBBAb60aEDbN6ccne7YcAHH5gpUUKnXj1BvOvU0fjqKxOff+7g++9NT1XHZbFY3N2Ya9ea+eyz7MyadZ5x47IyatRP/PVXIPHxOYmIyEOlShogoWka06dHUL/+Q6pUqYK3tzc7dpjYsOHJnIUyZzYYOtTJ9OlmfvhBoXHjRDHr0qUNrl83cfeuRMWKDjZvVli/Ht58U3UvzhlZpEXXuUgFPyuxcTph+3aFtWsVgoMNWrRQyZZNZvlyM2+9pTJ0qINFi8xcuCAzZ46NCxdkWrXy5sgRmXr1HIwatYM2bao+8UIaESExeLCV6tU1li4VUT2bDbp29eKbb8zMnWujfXvPF5kjR2RGjbIyaZKdMmWS3xcHD3qzYEEWli1LjPpt22Zi1Soza9YkPPELzdPg4UNBAocMcZAvXzx37vz/Egyz2Uy2bNnIlk00NsXGxhIZGcmdO3c4e/asW7HAy8vLo672n8Szrq/PAhcR/Lfhn7+qzwHZsmWjXLly/ygJBNz7f9b0sKIIMpeSnqDT6eTQoUPcunWLatWqUbeumT//FJPH22/rrF+fuIImjVC60KyZIHHPgtde0/nuuyfbhouEBQQI7+KjR9Oe8BISEvD13QNoFCig07p1EL17a8yZ48kQMmeGmjV11q9PfzxJ5VuKFjVo21Zn1KjE7eXMCdOnq3TtqpCWU2DFigaffeakd28zv/4qooHDh2t06GBmzRrRYZra/iGxTswwdLJlg7Aw0QX71lsazZppNGmi8corOsWLp0wCr12T6NDByrRpDvLmFbWFx44d4/bt21SuXDlFEnjnjpB3GTjQwtSpZvr2ddK+vUqfPhl3lHjwgFQ7ROHJLQidTiejR99m06ZAAgMDGDPG4N13NXx9jRRrESdONJMpk8G6dXb27RPnsl49jbt3JSwWg8OHn3068/aWiIhQ+OmnQkyc6EutWjXInj07ixb5Ubv2Prd22549e/nzz0D69AnF29ubW7dE2vZJGyxDQw38/Q3q19f48kuFpUsVDEPcKyaTiTFjVMaM8cdisTJxooNt26ysX29GVVVUVXRXu6KIKeFZvK0TtyE6cwcNstKqlTdXr0r07+/EYoFFiyzkz2/QrZuTr79W+PlnE9On23n3XSf9+1tp1MgHVYX16xNYteohOXKkIsSZBrZtM9GpkxcDBzrcsjIXLkjkyuXHN9+Y2bcvLhkJ/OILhSlTRFNISiRwzRqFL77IzLRp590kcPVqhU2bzKxYYft/IYEPHkCHDt4MH24nLEz7x9OwLrmx0NBQKlSoQK1atbBYLBiGwalTp9i1axdHjx7l+vXrJCSk7HLz/4F/OjX8b6sPhH8JEXxR4Hp7eh51gp07ayxb5nmzx8bGsmfPHgzDICwsDH9/fxo3FnV/kFgD6ELSAnUXmjYVvrvPAl9fEVF8ZI2ZISSNTvbsqbFgQeoPclRUFHv27CFTpkzMmeNPrlyik9owhF7euXOeJHLgQI3Vq03cvp32GB7v2m3ZUsdshi++SDwfZcoYvPeeTvfuCs40OFK+fLBxo5N160yMGmWiSBGDb74ROm3NmpnZsUNKJoTtioKoqpohkeiU8O23Jnr2tDBvnoNSpQzsdjsHDhzAbrdTpUqVFCep8HCJAgV8iI2FkSOdLF7soEQJgyNHZMqWzThRiIqSCApK+fOGIVLaGbWwjo9PoEeP+5w754+iBDF9uspLL4n7tHBhI9k1njlTQZYNBg9WKVDA4MIFcc2qVNHx9hbpPD8/g5iYDB9OMsTFwa1bQrLl2DGZmjV1vL298fbOg6pmoVOnChQoUIA7d+5w/ryZHDmiOX36ONeuXWPnTpXatZ/8uS9dWufoURl/f4Np0xzcuwd9+lhwrbPlyxtUqaIzaZIVb28zK1aonD1rYeBAf+7fT3zxVFUVh8OBqqrJSOHTpLEcDvj1VxPDhllp1ky4crRp46RFCyc7dyqsW6fQurWTV15RWbzYzKVLEsuWJdCqlcqIEVbq1PHh5EkTy5YlsHNnPPXra+6SmYyOJyYG+vWz8scfChs3JrgdWTZtUihf3o+aNTVu3ozxaORwOmH4cCtnzsisWWNLpgSgacJq7vx5mUmTLuPnl/izCxdkFi2yZagu8llx/74ggaNH26lSRYz/nyaCj0NRFEwmE3nz5qV69epUrFiRwMBA7t69y969e9m7dy9nz54lMjLyuax5GcU/mRqOi4vDx8fnX5cafnHuumfAi3JRXMb0z+OhCAszOHhQdhfn37lzh71795I9e3YqVqzo1nYqXdrg6FFxGS0WsYieOCHOh2tSSToePz9R05WSG8mToFs3jdmzM/4wJq1XLFLE4MEDuHIl+eeuXbvGwYMHKVSoECVLlqRYMYkKFXTKl9dp2tTCpEkqw4aZPKJuZjNMnaoyeLCSjHwlRUqCzuPGaWzaJPPXX4n3UKNGOs2a6XTurKTYHOGCry8sXKhStapB8+Zm9u2T6NtXY9kyJ7t2ybzxhpm1a+VkbiQnT57kzp07TyQ1dPiwRJs2Fg4ckNm0yU5oqCj63r9/P76+vlSsWNHDVcUw4OefZd56y8L8+WYKF9Y5dcrmbhY5fFiiSBH9ieQ6bDYpxY5zVRX1g3Y7GVpEo6Mf0rlzDBaLF7GxmVmwwEnp0okXLl8+natXEwf2xRcmrl+XeP99cb4kCby9DRISRJ1qoUI6+/eL+sC9e59+Slu8WKFrVxVVBX//xPFs3KjQtq1GTEwM586dI3fu3Ny9G0bHjsIj9s6dO3zzzV0U5SBnz54lKioqw3qiwcEi5d64scYXXyiMGKHyxhsqLVtaOXhQHEvv3ipeXgaDBpnRNJgwQaVzZ52+ff348EM/Ll70QlEUZFl4abtIoStamBGoKhw+LDN3rpl33/WiTRtvwsNNvPuuk/fec3Dzpsz06VYUBQYNcqDrMGOGlaAggy+/TKBOHY2+fb2oX9+H8HATU6faOXgwjpYtE/23n6R2evduE++8402rVioTJ9rx8hKyVR07etGpkzezZtnYssUzfXv3rkSbNt6EhWmMHZu8xvThQ/H9kiXF70EnPt5Ex45elCghfvb/wcMiI6FjR2/GjrV7+DC/aEQQEjt0JUnCz8+PfPnyuaOFBQsWRNd1Tp8+za5duzhy5AjXrl0jPjX7pec8pn8CsbGx/8qI4L+iRvBFgpDpeHYiKEnQtKnGN99IlC171kMf8PHPiQiJkIh5912NNWtkJk/WUowIgkghb9hgYuDApx9ntWoGs2ZJXL+Ou+EiLTxOwj78UGPMGCHZ4hrj6dOnuXXrFhUreopEjxypuVOB27aZePllIeqc1F+5VCmDUqUM1q2TeeedlBfhlIigosCSJSpt25qZNEl1R8iaNxcdk+3bKyxfrqapm/j66zo1a+pMmmRi4UKJDz/U+PBDjZgYjS+/lGnTRiEoyOCVVwwqVaqGYdzhypUrnDhxgsDAQLJkyUJISEiyIuRbtyS+/97Ed9+ZyJ9fZ/JkJ/nyifG5ZFBCQ0PJnz+/+3sJCfDVVybWrlWoUUNjwQIHM2aYmTHDc5FbsUKhR4+ME1EhPZPy76KjRco4Kir9juHbt+/Sq5dEaKgvp04FM3++g/z5Pdl7aGhimvfXX2W2bzexbJnDY9slS4ru4YoVRQr9xAmZPn1EejIj1nKPw26Hn34ysW6dnWXLFB48kHA4xMvVDz+Y+PTTaxw6dJxChQqRN29eDh0y0b+/Fas1lNDQUDTNTM2aMtHRERw7dgxd1z3kaVKzPgRo3Vrl9m3RuNOunUqDBjoVK9p5/33hPzxsmJOhQ1W++85E8+ZWhg51UqeOzpdf2jl0SGbJEguXLnlRoIBO2bIaRYuq5MihERQkyKskSY+ihTIxMSYiIkxcuSJx+bIQy75+XUZRoEQJjZo1Nd54Q+Wvv0x8/73Cn39aqVNHpUMHJ/v2mVi/XtRo9u3roGBB45HbjDd//GEiVy6DSZPstG3rTPGFISNE0GaDCROsPHwIa9cmuJtYDh2SqVNH1En8+WccpUp5XuMDB2TGjrUyfXrKUi9Xrkj07evFqFGJeoA3bpiZODE/EyY4n8pD/WkQESHRubMXEyfaKV3ac5wvIhFMLfqmKApZsmQhS5YsGIaQq4qMjCQiIoLz58/j5eXllqcJCgp6rhG8fzI1/G8Uk4b/iOBzx/OSkAFo2dLOO+84+OCDWx76gI+jaVNRMD9kiEaFCgZjxsioqoaipJyqrl9fZ+5c8zMRQYBhwzSmTVOYMyd9QvE4CSta1CB7doNff5WoXt3O4cOHcTgchIWFJXOACAyE9u01HA4YPFjh+nU7nTqZefVVnRw5Ej83ZIhGs2Zm6tTx/HnSMbjkWpIuSJkywerVTtq2NfPJJ0I8GYRmotVq8PbbZj77zEnOnKkfX3AwfPyxxtmzEpMmmVBV6N9fo2NHjXbtHNy+LYjGlCmZiYgIwWIxyJZNxd8/Fl1/iM12B1W14nAEEhnpj6payJZN2J+tXm131wq6vHcvXLhAyZIlyZYtGwDHjgkHkHPnZJo1U9mwwY6PD+zdKxMZKXkIJd+4IXHnTqKodkZw8qSUqojw3buiPi4yMu1F7OLFqwwY4EuZMn4cPBjAggUOtx5fUuTObfDttxJXrkh8/LGZDRuSy9mUKaNz9KhExYoiPfzttyZy5BAp3afB5s0m3nxT5ZtvTLz1lorDIbFpk4natXX8/GI5d+44pUqVeiQ/I6zXkkY/DUMmV65s5MqVzW3/FRERwbVr1zh58iT+/v5uMWt/f3+P+695c43XX7fSu7fKkCEWFi0S7i2LFjn4/XeZTp2s1Kql0aWLSs2aGp98YmbWLDOtWqm89prGzJk6hiGajo4ckdmxw8KtWxLXrtmIjs6Cv39+zGYzZjMEBuqEhBjky6dTtKhKkyY6Xl4yBw/K7NtnYt48C4GBBnXqaHTp4uTwYZmff1Y4ftzgzTed9OnjICEBNm4006mTmatXZUJDdT791MZbb6lp1kimRwT//NPE5MkWevZ0uD2GVRU++sjCrFlW3nnHyaxZNo+XMsOA+fPN7N8v9AFTaoLbs0dsd+7cxKaQvXtNTJiQj7Fjr1GtWp7kX/obcPeuEKeeMsVOiRLJn6XHvYZfBGSEnEqS5NbszJs3L6qqEh0dTWRkJGfPnsXhcJApUyY3MXzW1Oo/nRr+jwi+oHhRUsPw/IhgbGwsp04dIlOmMmTNWh1//9Qv1csvG8ycKdO3r4bVKojeL7/INGyop2h7ZzZDoUKGh8PG06BCBYOZM0VTS/78aX82pWjcqFEab70lMWLEXoKC/NPs+u7QQefLL034+BjUr2/m889Vhg0Tmn5Jj2vaNJU+fRTWr1eTaRW67pOUFqTgYFi1ykm7dmZmzEgkg/XrG+TNq9K5s5kPP1QJC0v7fBUpYrBsmcrlyzB3rokPPjDx8svw1ls67dvrtG8vcs1Op9Dvu33bj/h4PxwOHcN4iGHcw2w+giw73BElRQkBrO6o6b1796hYsSIREZlYu9bEr7+aKFxYp0MH1SPFevcujBtn5osvPDtfpkxRGDYs400iIBbT6tVTJoIXLshkzWpw7Vpq9YMGJ06cYcSIbFSv7s+uXb6pkkAQ3a03bkj07i1qIVNyhitVSmfuXAXQHnXymgkPlzGbjacSTd+wQWHNGjsdO1pYtkx0Yr/1lpVr125SpEgEFSpUINMjlnH3rhDRTg1J7b8KFiyI3W53R0uuXr2KLMvuSGHmzJlRFIWPPnIya5ZCpUo6kyYJmRqAl17SqVXLzvbtMj17Wsia1aB1a43Bg518842J3r0t2GyCpJcqpRMaalCxokZk5CUiIq5Qpkw5fHwk4uJU7t6FW7cMrl2TOHdO5uefTTgc4nxXrKhRu7aTqlU1fv9d4auvFPLn12nQQGXNmgS8vERUbtAgK7/8ohAZKVGrlsaYMQm88oqWoZRqakTw/n0YN86KJMHq1Ylk7tw5ibp1fXn4UGLr1vhkNZgRERIDBlipWVNjxQpbsmi0YQh9w507Taxdm5hGXrtWYds2hSlTThAS8v+jB3f7tkS3bl58/HHqjiEuXcMXCU8TpVQUxX1/u6KFLvu7CxcuYLFY3PI0TxMt/KcFpf9LDf+HdPE8agTv3LnD0aNHyZcvH8OGZWLVKhOTJqW+TVkWFnJr1woP3Hfe0Xj/fcVNBFMaT+vWGp9/LjNhwrONdfhwjalTFT77LO2oYEpE0Ga7Q9my9/njj5KMGROc5iRoMsGkSSpDhyrs2iWzY4dMwYIGmzd7ahKWLGnQurXOsGEmZszwPLakXbspTSRZssDKlU66djUzYIBK/fpisS9c2GDDBie9eyvs2WPQv3/K8iZJkS+fwZQpdux2nZ9/NvPBBxbu3pUoW1anWjWdChU08uUz3KlegQAgAMPIT2xsLPfu3XMLHnt7+3HlipUzZwK4d68OM2ZYCA3VadpUo3dvNVmTRlwcdO9u5ZNPHB5Rkj17ZAxDonz5J3sB+OMPOVUNu/PnhZhzSlEOTdM4cuQYH30USqNGAXz3nTfz56dOAkHUsH79tcLWrbbHzk8i8uQxuH5d3C+lShn4+hrs32+iYkWdgwdlatTIeHr44kWJnDkN4uNF3ae/v7hHCha8yaefZmXXLm8yZUpko5cviyhYRmG1WsmZMyc5c+ZE13Wio6OJiIjgwoULHDt2jEyZMhESEkLt2rk5c8b7kaSMmcmTnY+sCYXndePGDs6ckdi82cTUqWZy5jR45RWNSpV0VBXOnJH57TeJkydjuX8/E1ZrQaxWBbNZaDxmyWKQLZtBrlwGhQvr2Gwq58/D8eMyP/wg7u3KlVXeeSeBEiUMZFnixg0Tixeb+eYbM+fPS2TKBI0bq/To4XhiT+DHiaBhiMaPlSvNjBrlcKdndV1E+UaO9KJuXZWVK5NH+n77zcTHH1uYNCl5ihWEQPPQoVby5TNYvtyGLIvtjhtnQdclVqywcfq09v9CvG7elOjRw4sZM2xpnrMXzcXDJXT/LKQrabQwT548aJrmjhaeO3cOm83mjhZmzpw5Q9HC/1LDzx//GiKYno/r/xeepUbQpQ+YtB7QMGDcOBm7XUuzEP+dd3SaNTPTvr1OzpwuL9HUiWnVqgaTJ0tERYlo2NOiVCkRgTl/XqJQodTPf1IiaBgGFy9e5OLFiwwcWJpu3bITFeVM1evXhXLlDN58U8NigWHDFP7808HYsQolShgUK5a477fe0jl92sSiRTLduycuEkmJYGrIlg02bHDSo4fClSu6WysxIABWrVJZsUKmeXMzH3+sUqRIysfrcojQdR2rVaZJE50mTUSB/ZEjwh3km28sj9w4XD6vQtTXYhHpMIcjmKiozNy/D3a7SkzMA3LkiKdQofvUqbOfUqV8yZIlC8HBwckmxYcPoUMHK0OGON2RTRBdmB99lDxCmB7i4kTtVmr3yZEjMqVK6R77AiH0fuhQOHPmFKNhwyC2bROWcY/XBD6OBQvEtJQ0nf04FAU0TXL/W9QJSnTrpnHkyJMRwU2bTLRsqfLjjyYaNtRwOp0cOXKEV1+VWbIkD6Ghns9PZKT01Hp8siwTHBxMcHAwRYoUISEhwe2HnD//BS5cKMjhw9l46SVo0SKQKVM8r2HRosajphmVW7ck9u2TWb1a4dIl0bUdE/MQWTbInTuEgAAZp9PAbpeIjYU7d2SOHxcELEsWg2LFdIoX12nWzCBHDodbhubqVYmFC838/LOZc+dM2O0SZcpoTJ6s8vrr6hMLQbuQlAheviwxapSVcuV0Nm1KcL/IXLki8cYbPly8KLNqVQLNmnm+YDqdMGmShchIiXXrElIcy7lzEoMHC7mZunXFtYuNFcLSr7yi8u67iXXJf3dk6do1iZ49vZgzx0aBAmnfM7quu5sAXwQkdbl5XjCZTG7SB3hECy9evIjZbPaIFqaUIfqnU8NZXEK9/yL8a4jgi4KnTQ07nU6OHj1KXFwcYWFh7vCzJEGzZhpbtsi8/Xbqi5vVCg0b6mzdKizk3nxTZ9MmmaJFk6eGXdsdNEjjk09MTJz4bFHB99/XmDzZxNKlqUcFXYTUpXkXHR1N1apVCQgIYPRolY8+Upg9O/1awx49dHbvlilYUKd6dQsnT9rp2dPM+vVOj6jBqFEanTopFCpkUK+e8eiYxSKUXkentzesWKHywQcmhgwxMWGChpeXOGedOum8/LJwaCld2mDgQM2dcnLVH7qu/+PyMLIs5EDKl1fp1i1xf3FxEB0trK7sdkFsLBbh+iBJ9zl2LNEuzjCycP/+fe7du8eZM2ew2+0EBwe7G05u3fKmTx8LH3zg9BBX1nUhQP3BB84nFhPfts1Ew4apn7PoaInTp2U6dEiMGMbExBAefpjVq8tQo0Ywv/1mYtgwz+7glHDggMy+fTKNG2fsnnRZ2gUHi3RyqVI6X331ZNPan3+aGDhQpXt3C+PGPeSvvw7h7e1NzZplAFF/mXTccXEkS1cbRuJYngTe3t7kyZPHHS0pUyaKb7+NZMmSzDRocJjRo/Pi52dlyBCDMmU8w745chg0aya0J51OJ+Hh4UiSRPHi5bDZNOLjhTySxWLg5UWqBC4+Hn77TeGnn6yEh8tcvixht0Phwhpt29p56y07efMmkgJdl5+KHBiGgd0u6vWOHJGZMMHufnlUVZg1y8JHH1kpU0bj7NnYZOn3y5clBg704t13nbz5ZspzxVdfKaxZY+azz2zkzCm+f+mSxIABXgwf7qB69cT76lkdoNLDlSsSvXt7MXeuLc0IuAsvWrOIa578O0mXj48PPj4+5M6d2x0tjIqK4sKFCyQkJBAYGOgmhq5mun86NZw/vTqo/0H8RwSfM56GCMbGxnLo0CF8fX0JCwtL9lbYurVOhw5KmkQQoEsXjTZtzLzxhs7rr+u0aaNQvHjqqeratQ3mzpW4eZM0GyHSQ9GiBiaTaCh4PCrkgslkQlVV9u3bh8lkIiwszO3XGBZmsHSpEJkuUybtCVOSYM4clebNzVy4AMOHK4wfr/Leewqff666U7ayLJxC3nrLTJ48KoULGx41gulBlmHCBI2tW0UEMGkTSZ48sH69yrZtMi1bmmnZUqNDBw1J0tzbfhK9NF9f8PU1yJXL8+cuu7iiRYuS+1FrtiRJ7onRMAzi4uKIiIjg5s1bLF78kJ07CzBhwmWKFcuEYQQ8ipTD+++bqVdPIyzsyTtq161TWLo05SjitWsSuXIJEuZ6UY6MjOTo0aN8801lSpTIxNGjMm3batSsmfa+Y2JgzBgza9fa6d49fUHCrFkN7twRVoOFCwt/7qAgUY+VUURGQkCAgaLAvXsaFy/uI2vWrBQtWpTz5028+qrKp5+aWbQokeTKsiAuqY3laWEymciSJQudOkHTpgbjx5dAkpzkz3+bsWOt3L/vx0sv2WncWKFyZV9MJrEYJiQkEB4ejq+vL6VKlcJkMj16OUl+n6uqiJidOCEaRE6flrl1SyImRrxMhoYadO+u8sYbmjuCpetmD+s7l+yRSy7L9XdaMAzYssWbpUsrMmKEzogRiV3ghw/LNGzoQ0KCxKpVCbzxRnL/4U2bBMGbOTNlUuVwwJgxVsxmWLcuwd20sm2biYULLXz6aXLP4L+zOePsWZnBg60sWGAjT56MRY9ftGaRvyMimBaSRgsLFy5MQkICkZGRREVFcenSJcxmM0FBQe4X7n8C8fHx/6WGX2S8KKnhJyWCrnrA0NBQChUqlCJ58PcXRO30ackjBZrS5ypW1PntN4k6dQxy5IDr1/3SrGcaMULU+GUkGpcWhg9XGTcuUQ7mccTFxWGz2QgJCaFEiRLJJpePPlLp1s3M5s3OdLXogoKEbmCfPgpbt5p47TWdV1/VGTfOxEcfJZ57Hx9YvNhJp05m5s1TKVQo5VrFtNC0qU6lSjr9+yvUrm3w3nuiPlCSRFdxgwY6K1bING1qpnFj0d0cEPBsUQZXicD169dTtYsD3Npet275M2dOEYoVU1m9+gYPHz7k0KGLyLJM5swhLF1amPz5ZTp2fHISePSoRN68eqqOIt99ZyJfPh1fX3HM169f58yZM/z+e3WyZPHnzh2J6tU1mjZN/5kYPtzCyJHODHtYh4bqXLkikz27TsGCOoZh4vx54cusaaRbxwkiGlirls6pU/eRZZ28efMSGhqKJElcvy5Ru7bQKLxxQ3J7Dvv4GDx44HmNy5TROXxYplGjp/fxToqQEInZs+HqVQtLlhTAbocKFWKJi9OZNSuBW7ckLBYzuXPrWCyR5M1bmEKFsnHhgoTJJKJ8sbHCV/jmTYmbNyWcTom4OCExlJAgXhBy5jQIC9OoV0/npZe0FK+zLMseZRVJ/ySd61yfe/zZPnRIZuJEK5UqqUyceJCXXqoKiMjq8OFWVq2y0KyZkzlzbMmi1REREsOHW8mfX2fDhoQUu5KvX5fo18+LTp2cNG0q5h9VhfHjLcTFSaxfn5DinPJ3NWfs2yczaZKVpUttZM2a8TXpRWsW0TTtiV5onze8vb3JnTs3uXPn9qitBdi/fz8BAQFu4ujn5/f/Ms7/dAT/Q4aQUSKYtB6wTJkybhmQ1NCli8bSpTLTp6e97V69NPr0UahTR2XQII2BA/MRFvYw1c9XrGgwaxZcvAgFCqQ77FRRsKAgokeOSMncKq5fv87p06cxmUyULFkyxQc2Z07o3VtjxAjh2ZseqlY1eOcdnezZ4b33zGzd6uDIEYkvv5Rp2TJxMc6ZE5Yvd9K5s5nZs9UnJoIAOXLAunUqS5cKkehRoxK7h00mg44dHbRpo/Pdd2bat/eicGGd1q01KlTQnzhVqGkax48fJyYmhipVqqT59nnypMS8eWYSEuDDD52PCtFzADnQdZ3btx8wYIA3BQrcpkSJsxw8GOROIT8u0ZMaPvnEzIcfpt5hvGOHTKFCBs2bq5w7d47r169z+HBNVNWPwEADRTHo2DH952HzZhNZshjUqpXxa5M7t2gYqVqVRxFfOHdOlA1cuCClWsOZFOHhMlWr3ub7769TtWph8udPJN3R0RLBwQa9eqnMn68wcaI4D1mzCreWpKhdW2PlSuW5EUEX8uY1+OgjJ5oG+/Z5s327H6oqERio4u0dw/37cUiShZs3vQgPt6EoVhwOM4oCdrtI8ZpMoqPeZBLEr3hxncqVhUh7WpaBKeFxUuhqKEgpWnjzpolp07wxmWDBAhsm0wPOnxfbEfqDPo/+HU9YWPJ75OuvFZYuNTNunJ3y5VM+rz//bOLTTy3MmJEoln7njkSfPl689ZaTVq1Sn0v+jgjc99+bWL1aeBWnovaVKl7E1PCLMh5Xba2vry/Xr1+natWq3L9/n8jISK5cuYLJZCI4ONgtUfN31VrGx8enKuP2v4z/iOBzhslkwpmWNxmp1wOmhfLlDT74QCYhQUtT3DhrVkF+Dh+WKFfOIDBQ5+BBM3nSkMoaOVJj8mSFxYufPSo4YIDCl1+qj7r0EkWiixcvzpkzZ9J8a3v1VZ0//pDYuFHmrbfSX1AHDhS6fXXqCNeR335zMHOmicBAId7sQs6cohu4Y0czLVv6U6XKk0eOZRm6ddNp0UJn/HiFZctgzBgHOXOKRdBiEd3LLVrYOX5cYv16hQ8+MFOpkk79+hpVq+rpRjrtdqGnKMsyVapUSVGE+NYt+P57he+/N5E3r06vXk5Klkx+PGfPmhgyJDv9+zt55ZW8xMeHuJsSzp49i4+Pj5sUBgYGpjjh798vExJipFrkfv26hJ+fiBq2anWEO3cecv78S9y44UW5csI6bfr09GVqrl+XWLFC4csvn6yJJVMm4aEMULCgcEk5e1aiZEmdEydkihRJm4AahsH+/fFUq3YcwwijShUvIPG+i4kR0edq1XSmTTMTEQEhIZA3r87ly55TZ/HiBsePC5/pv2PtNJmgenXdLeFz+/Yddu8+h7d3MRISgrh7N467dyOJi4vDaoXMmX3Jm9eXggX9yJFDJkuWJ69fTA+ueyapcL2mady9K1xHrl+XGDw4ntKlRU3X/fs6N274UL26D8ePmxgwwM6oUY5kz0VkJIwY4UWePDobN6YczXM4RNPI/fuiacQ1J+7ebWLKFAvTp9tT1b104XlH4FasMLNvn4mVK20Ztlp8fDwvCvGCF6+LGRKjlK7awly5cqHrOg8ePCAyMpLLly9z8uRJAgIC3MTwcd3OZ4HLYu7fhn8NEXxRQuomkwmbzZbq70URfXiq9YBpoUULjc2bZdq2TXuC699fpGlXrFDp2vUmkycX4Y03Ul8IihcX0ZQTJ6QUSUVGkTcvNGig89lnMl272jhy5Ah2u52wsDB35CA9jBun0bKlQvnyRppdyCCOZ+5clQ4dFMqU0ald28KBAw7GjzcBmgcZzJZN6AQ2bVqCokUlatZ8umPMnBlmznRy5IioT8yUCQYOdFKwYOJnhMuJE10X9U87dsh8+qmCYUgULqxTurTo1syVyyAkRBAH130RHBxMiRIlkCSZyEi4dEnmzBmJAwdkLl2SyZzZoEkTjZUr7aT0/uBwwPz5Cnv2yCxa5HAXzPv4+JA3b1634KtL1+7IkSMYhuHW/QoJCcFsNqOqMGGCmSVLUidnK1Yo5Mun4v1/7J13eFTl1sV/50xJI73RQggQAoGQQhcUULBhQ0VRFCt2xGtHRewFsGEXQQVEsFy7Xq5XxK5IKp1QQgik9zozp3x/HM8wSSbJpE/8WM+TR4Rk5s2ctt6991rLKxertY7s7EmkpHgwc6bMZ58ZeOsta4vkQ5Zh4UIzzz1ntT88NeFFy9ezr6/Kvn3ag9PfXxOMZGeLnHSSxF9/Nf9AVRSFXbt2U1k5kIkTk/jpJx/69Wu8EdLXf+edNpYuNbF0qY2QECgsFBp93+TJMj/+KDJtWsdWBRviyJEjZGZmcsopcYSGhvz9t5r1kKIolJaWUlRURFHRQQoLa5GkQGprQ+zpNZ2FigqRFSs8SE8XufNOCxMmyMgyKIpAWZnK/fcH8NFHg0hKkkhNrSAqqnFF7quvjLz5pqlR/Joj9u4VufdeD667zsZ552nHTFXhpZfM7Nwp8sEHtU6vjYboKLGIqsLTT5upq4NXX61r80bAHYmgO60HnJNTURQJDNTiHocMGWL37SwuLrb7duqVwuDg4DZXC/WZ7BMVwRNoEc21hvPy8uyxYE3NAzaHSy7RBCAtEcGoKI1cHDgAISEKcXHVfP11EOec0/TPLVoksXixkXXr2lcVvOEGhYsuAj+/DGJjDUyYMAGj0Uhtba29fdTc720ywauvStxwg4lPPrE1W/0ETWG7apXE5ZcbKSxUGTNGUxLff79mNuxIBkND4cEHM3jyyZO47TaRmTNb/8DWVcEjRqisWSOxc6fI009rDOaaayROOul4O1gUISlJISlJex9J0mx2tm8X+eorI8eOCRQVQV2dlaoqFW/vk/Dy8kYQNCIUGKgyaJDCkCEqt98uMXCg2iSxUhT44gsDb71l5MorJT74oOncVKPRSHh4OOHhWgpGeXk5RUVFZGVl2WPvPvtsGLNmSYSGGoDGb1pXB7/8oiIIZdxzTwm5ueP53/9MXH21xKuvGlm71rXc1hdeMHLeeVI9f7Xqak080xL8/FQqK7W1CQJ/EzSIilL5+OOmzzFJksjIyCAvTyU62g9fX9mejuIIg+G4KGTyZIU339RsWqKiVLy9VaqqqEc4rr1W4vbbzUyb1kxAdTugqioHDhwgJyennsG1I/SHXnBwMDExMdTU1PxNCovIzMzEy8vLTvgDAwM75EFfUQFvvWXkp58M3H67jcWLbX+fpwbAwPvvG7jtNq2st2pVNhdc0OvvNvJxwUlpqciDD3rRp49WBXQeUQcrV2oG0W+8UUefPtrxKiuDO+7w5KSTZN56q7GxdFPoiNawJMHdd3swdKhWnW8P3E0s0p3q3Kbgypoa+nZWVFTYSaFeLdSvkdZWC08YSp+AS3BGBFVVJTMzk8OHD7s0D9gUfHw0kudK5e5f/5J58UUjN99s4IorCli0KJQzz1QapW3oiIrSiNLWrUKbWqc6iooKuPTSfbz11jg2bTJhNGoXmb6Lc2UX3r+/Fs92771GXn65ZWLq6anZvVxyiYniYoiN9WD/fgt33mlEEGSmTz/++/j7y7z9djFPP92b9HSB++93LRVBX7uuntTVknFx8PbbVg4fFli3zshTT5mYOlXmkkvkRmbIRiMMG6YybJgMaArjw4cPc/Dgwb/j4vyA1pGI8nL4+GMjn3xi4PTTZT7+2OI0iaMpCIJAQEAAAQEBDBkyhLq6OjZvriQjw8C0aT/y668e9hayI3F45RUrffseo64uCFkewUcfGbnzTolHHtFUv660xpKTRbZvF3n33fq/c2FhY1LmDH5+GgnRYTBo1ac+fVRyc52fYxaLhdTUVEwmEyEhiURFiYBMaWljn8SAAPh7Nh2Ahx6y8cQTJlatsjJlisKWLQbOOef4tR4eruV+b9kiMnVqx1YFFUVh9+7dlJSUMGbMGJcfRg0rwSUlJRQVFbFz504kSSIoKMhODD1bGcdSWKgZP6ekiMyfL3HXXZZ6JOzHH0Vmz/agulrg+ut3cO+9PvTrF27fEGp2Ugrvv2/ko4/MPPBADWPHKn/P8dZXq+bnC9x5pweTJsm8//7xqltqqsjixR4sWWJh7NjWfebtbQ3X1MBNN3lywQUSF17Yvg10R6yno+GOFcHWmkmLomi/v+kpP7pv4ZEjRxAEod5sYXOZ4HBCNez2cJcLqCERbMs8YHO4/nqZt982tCioiItTKSiAkhIzQUFWLr5Y5t13Ra6/vumb5X33Sdx6q5FPPmn9Tc3RJHrq1DgUxZPlywUWLTruqQeu7zLPOEObF9ywQWTOnJZv8Jrhs405c0xs3w5DhniQnm5l8WIDsqzYffBEUcRsVnnlFYmVK0WuusrIa69JLQ52OyOBjoiMVHnwQa0d/MMPIsuWmcjOFhg1SuGMM2RGj1bqEbSGcXH+rZjaLyzUkhW+/NKAxaL7TLpGvlpCebknL7/szwcfWPD1nUpJSQmFhYV24hAcHIwse/DJJxH07RvOrFlm3n7bwKJFNh54wMyaNc5b1g1RWQkPPWTi/fctjSo4OTmCvaXdHHx9VSoqjv+wwaCZJxsMx82mHVFVVUVqaiqBgYHExsbyzTcm+vbVTc6FRhuC4GCV3buP/2VMjEqvXip//SVy9tkyjz1mqkcEARYtsjFnjgfjx1tarGa7ClmWycjIoK6ujrFjx7aasOkwGo2EhYX9nZesUlVVRVFREbm5uezZs4devXrZSaG/v3+T99TsbIEVK4wcOSJwyy0SDz9sq3cMU1JErrvOzL59IjNnljN37p+cfHIsQX8zbf3637fPyEMPmTnlFIlPPqlFFJ3b03zzjYmVKz3qZfTKstYK3r5d5L33als0o3eG9lTgiou1yLg77rByyikdky3vbsTL3dYD7Z9b9PDwoE+fPvTpownqKisr7aRQzwTXq4V+fn71rgFZlqmpqTlRETyBluFIBNszD9gURo5UOXiQRm0pZ7jtNpkNG8K46aZsrr5a4ZxzTFx2mdKksWzv3tq84ObNgt2E2RU4M4m+7DKFefOMpKZqcWaupHo0xJIlMnPmGBkwQOWkk1peT1iYJgq57joTBw9CfLwmIFm50sC+fQK33SbXUw3Pn6+lYcyerfkENlVldbTLcEYCHSGKWtbzaadZUVVNRf3ddwZef91ITY1ARIRCTIwEZBEaKjF9+nj8/Jw/2KurNU+8nByBXbtEduwQyckRCA5WmTpV5tlnre3yrWuIysqGsXSar11oaCiqqlJRUUFmZiYrVgQTE1NCenpf1q2z8uCDVh54IIB337UQEtLCm/yNe+4x8+CDNqdpJQcPCi2mMICeLnL8/4ODYdcu7e9EUa0n3CgtLSUtLY2IiAgGDx6MIAjk5mrHA0AQGr9fZKTK+vX1j/VDD9m45hoPPvvMQnm51pZ07ND6+cEdd9i47z4TK1a0r1UIYLVaSUtLQxAExowZ02FqSEEQ8PX1xdfXl6ioKKxWq31uNC0tDcCehazlXZvYulVk5UojNpv2OzaMKdy7V+CWW8z88YeBU0+Vee653YjiIZKSkvDz87N/X00NPPOMicOHBV56yUr//iqg/V6O11plpcLixZ74+Ki8/345Xl6amfXRowbuvNOT886zsXp1y3OoTaGtFbjDhzVV8tNPWxg5suMqv+5GvNxVLNJRn5EoivZM8EGDBtmvgZKSEjIyMlBVlaCgIPbt28eYMWPsm/WOmhH86aefWLZsGcnJyeTm5vLpp59ywQUX2P9dVVWWLFnCypUrKSsrY9KkSbz++utER0d3yPs74gQR7GDoRLC984DN4eabFZYtM/Doo83vRCdPVnn0US/KyzXD3Ntuk3npJQMPPND0z911l8y8eSamTbO5dIPVzWwbmkQLAjz/vMSVV5r47DMbHh6upXo4wmiEd96RuPxyE48/LpGQ0DI5iIiADRtsXHONkV69BKZMMfPVV1bS00VuucXIZZfVT1qZNEnlnXds3H23lhRy112y3auspaSQliAIWixeQsLxgfbMzDq++SaL0lJ/cnKi+eYbAzU1+vsJdkKiqgLe3iq9e6t2y48LLpDp3bvpOcH2oKYGrr7ag0WLbE5NwVVV5ciRI+zeLWKxDOCrrzwZPbqWefP2c++9fVi06CeKi/0QhBCnsXeO+PBDA337qk0aTB88KDaZHOEISaLeqIO/v4rBINjbvCUl2txgfn4+O3fuZOjQoXZjboDcXIGxY5s+p3r3Vjl2rP5DJzQU5syRWLHCyLx5Mm+/beTuu+uv9fTTFbZtE3ntNSO33NL2lmFtbS0pKSn06tXLbhTdWTCbzfZKiePc6N692bz0UgV//BHJqFEy//oXxMbWz4M9fFjg7rtNfPONkfh4hd9/r8Fg2ElJSQlJSWPrtdK+/VZkxQoTCxfaeOyxxsdft6f58UeRZ54xcs89Nk4+2YqiiKiqysaNIhs3mnn22SqGDNGvmbYRg7ZUBDMyRB580INXX21sUN1euCMRdKf1QOfmDDe8BioqKigqKmLFihWkpaURFRVFnz59SEtLY8qUKU7j71qD6upq4uPjufbaa7nwwgsb/fvSpUtZsWIF7733HlFRUSxevJgzzjiDXbt2tbkr0BT+MUTQXVrDoihSV1fHjh072jUP2BzOPFPhvfeMHDhAPbVqQwgCXHZZOZ98EsqkSTBzpsLbbxspKNCqZ84QGKgNxn/+uRZV1xxKS0tJTU0lLCzMqUl0aKhGPh991MDTT9evxrkKX1+tyjd3rokXXpCaNdTWERSkJX/ccIMRk0nhnHPMvP22jeHDVR56aCQvv1xJnz7Hv79PH1i3TmLjRpELLjDxzDMSI0cer0xA65JCmkJpaQnHjmVw9tl9iY7ujSBos4LdjZISuP56D26/3caECY2Pj569W1Mjs2HDZH791YjBoPLKK3D//bF8+mkdJtMQCgsL2bNnD1artV7sneNNKytLYP365q1i9uwRiIlp+TjLcn0i6OmpiY2qq7UZw/x8qK4+zIEDB4iLi2uUEVpVRbMjAaLoPDpu7lyZK680c9ppNl5/3cz8+VIjP75FiyTuvNPE6tUGrr229ce4srKSlJQUwsLCGDZsWJfe3wRB4OjRQNatC2XnTpELLqjl+utzqaoqJD+/hJISLQ+2vLwPy5aFs2mTkYgIhe+/r2PsWBvbt2+nqqqmXht7/36BRx81MXiwyiefND3HWl6upcsYjbBxoxWtkGiivBzuvttERITChg01GAwKsnz8HGnKzLo5tFY1/OOPBl56ycy777atFe3KetyJeLmjWKSrqpSCINirhVu2bOHYsWO8//77vPjii8yZMwebzcaMGTM488wzOfPMM+nXMBbKBZx11lmcddZZTv9NVVVefPFFHnroIc4//3wA1qxZQ3h4OJ999hlz5sxp1+/XEO51lHs4bDYb+/btQ5ZlJkyY0CkkUMcTT2gq35YwfXot27b5ceyY9jBbtEjmqaea/7nbb5d54w0DBQVNf09OTg7btm1j8ODBjBgxoskbxjnnKJSWCvz8s9AmIggasXv3XRsLFxo5dMi1n9EFJNOmKYwYoXD99SY+/ljk5psPs3BhGNu2Nbb/mDNHYfVqG0uXGnj0UZGKirZVAp3h6NGjpKamMmTIEIYOHeo2G5esLIErrvDg4YetTgUOtbW1/PXXXxgMBr744iS2bDFhswl8/72FRYvMvPOOhd69tdi7YcOGMXnyZMaPH09AQAC5ubn88ssv/PHHHxw4cIDi4nLuuMPEiy9amxQtAVitQouei6DNARqNx8mAl5cWdVhVBWFhCsnJOWRlZTF69GinQfE2G/b3acquJjpaYc+exufK889bWbTIzE03STz1VON2rSDAc8/ZOHhQ5NFHTTRhJOAUJSUlbNu2jYiIiC4lgYWF8OqrRs47z4N33jEye7bM559buPZakSFD+pGQkMDUqVORpHiuv34Y06f3Y9euWlasyGDTpn2MGFFOamoqVqvVTgJLS+Hee008/riJRx+18cgjtiZJ4DffGJgzx4NLLpF5/nkbejf5119F5szx4NprZR5+WMbHx4zZrH0ZDAZEUbTPFlqtVmw2m32etzm0pjX88cdGVq/WjKI7gwS2dj1dAXetCHbHmvr27cuMGTMwGo3k5eXx3XffERcXx6pVq4iMjOSJJ57o0Pc7dOgQeXl5TJ8+3f53/v7+jB8/nt9//71D3wv+QRXB7oY+D+jp6WmP/upMDB4MgwerbNok2oUQzmA0itxyywHuvTeRtWslxo9XefVVLW/U0bLDEV5eWoTbwoVG1q+vn/upKAp79+7l2LFjJCUlNRl/5oilS7XM35tv9mwTEQRNkblypY35802sXm1rlMvrDKIIS5fKvPwyfPIJrF9vYP36RD79NJtXXulHVJTKokVyPZFFWJjK6tV1fPONwGWXeXPRRRLz5snNEpfm4BgXl5iYaB+Ydwd8/rmB1auNvPGG1Wmbq7y8nLS0NMLDw/n11xG8/rrGmtautfDMM5o6uGElTD/3e/XqVW/2rLCwkMce8yIxMZ/qahsFBaEEBQU1aq+4KhSBxq1hDw9NOVxRoVBXl0N2dh0XXzy2SQNYq1XAZDr+Xg0rfwBTp8ps2WJg+PD6Ld6wMHjwQRtvvWXEwwN+/11slOOs5VXbWLvWwKWXevDCC9YWc2f1NnZMTEybqgytRXGxRsC+/daA0QizZ2vK84bCI1XVRFD33uvJ7t29GDdO5scfaxk+vI6iIhMFBfns27cXg8FA3759KSmp5OOPQ9m0yci999qazZkuLIRFi8z07avy738fF9nYbPDUUyZycwU2brTgMGbYpJm17lfqSvSdKxU4VYXnnjNz9KjAqlV1bb4PtAR93e5EvNx1RrC71lRVVYWPjw+iKDJ27FjGjh3Lww8/THFxMRZL68zwW0JeXh5Ao2JSeHi4/d86Eu5z1vVg5OXl8ccff9CnTx/i4uK6LBT7vvtkXnjBgLUZxxGDwUBkZBXDh6t8/LF2uB9+WOaxx5q/mOLjVSZMUFm58vgpYrVaSU5Opri4mIkTJ7pEAkEboF++XGL58lFUVbW9FTpggOYxeN11pnq2Hi1hwQKZxx6TmDBBwd/fxqxZA5g5U2HECJULLjCxfbv29NfnAVVVYeZMlc8/1xSt553nwZdfGmjtIdXVnvn5+YwbN85tSGBZGSxcaOKPP0Q++sjilATm5+eTnJxMVFQUf/01gttv10jg/Pk2vv7awPvvNyaBzqDP3ezZk0h4+AAWLNAMqzMzM9myZQspKSlkZ2dTW1sLaJYjJ5/s2jlSVUU9Za6XF4iiQlrafnx9a/HzG9JsCoDVin0e1M9PrWdFo+OUUxR++MH5bXLSJIUpU2S8vVUee8zUZAX9yitlnn7ayl13mXj6aSNVVc6/78iRI+zcuZO4uLhOJYGHDwu89ZaRSy4xc+edZsxmeP11K2vWWDn33Pobo6oqWLnSSECAF+ee60n//ip//VXLDz9YGDNGxcfHh7CwMCwWC2FhYQwfHsuWLb248EJPcnN38eijW4mKOuL0QamqsHGjgWuu8eDWW2089thx39DUVIFZszwYOVLhjTes9UigM4iiiMlkslcK9WqhIAgoimKvFkqSZK8WttQarq2FG27wpFcvleeft3QaCQTszwt3I4LutB7oXnKqW8c0PGeCg4Pp27dvt6ypo/CPqQh2R0ld9wfMzs62zwPq8XKyLLd7mLQl9OoF11wj8/LLBu66y/nDUxev3HOPzPnnm5g6VTMoDg6GP/4QmDChaXazYIHMJZcYOeUUlf79K+2D67pJdGsQF6dy8cVH+Ne/hvHBB1rlpi0YMkTlueckrrjCxNtv23CY/W8Wp5yi8u9/25g3r4rDh3248kpPzjlH5tVXbTz4oDbkvnChFVE8rgw2GrXP95JLZF591cjKlR5cfrnEhRfKLVq11NXVkZaWhtFobDIurquhqvDJJ1oV8IEHnFdpHL0NR44cyUsv9ePFF01ERSmYzdCnj8oLL7gmJNKRmirw8ccG1q+3YjQGERQUxNChQ6murm4Ue/fVV0ksXmxBUXxbfAgVFdX3G5QkK9XVNciyB2PHRvDDD0agabGGyaRVnQDCw1Xy8wX8/etfDz4+GsFsaq722mtlnnpKoKZG5frrPfjgA4tTVX50tMrGjVa+/trA5Zd7MHaswlVXSQwYoLpkFN0elJTAzz8b2LxZJCtLJDJSYcYMhXfftTbZpj14UODFF7WsX4C77rJx882S3cRZR1VVlX2WsahoOI89Zmb0aJlNm2woSh+Kioo4evSo3ZpDnxstKvJn8WIziYkKn35qsRPyujqtCnjsmMA771hw0tFvEU1VCx2zkfXNelOVuGPHBG6+2ZOFC62cemrnz/HqnRJ3Il7dWX1rCt25purq6i7zEOz9tx1Efn4+fRwG2vPz80lISOjw9/vHEMGuhj5AX1tby4QJE+ytYP0klSSp04kgaGkjF15o5LLLtEzdhtDn8sxmePJJifvuM7J6tcQDD0jMn2/k00+lJg2VRRFeekniqqtU7rprK4MH9yc6OrrNpHvs2DJMplruv9+fZcvafnMdMULl1Vc1m5hnn3VNTQzarOGTTx7k66/78+GH4Xz1lYGvvjLw4YcWSktVZs3y4M47bY2sc3x84N57JW67TWL9eiOzZnkwdarMtddKTueFKioqSEtLIzg4mOHDh3f7zV1V4fvvRV5+2cTJJzftOai3/QsKChg+fAxnnx3G7t0igwYpHDwo8uGHFmbObN1xKyiABx4w8/77jSsqPj4++Pj4EBkZic1mo7CwhPx8AwUFqRQUYPe0ayoWqrBQICREO1bl5eUcPFiCj09fBg4ciJ+fSlVV8+ept7dKTY0AaOrs3FyBoUMbn0uXXSaxbp1mmO0MixZJPPaYiZwcbd7yvfcsTitYggDnnCMzc6bMTz+JPPmkicJCiInJJSamiosuGouvb/seNGVlsG+fSEqKyLZtIsXFAgEBmkL7jjskoqKavlaqq+GzzwwsXWpi/34tznDlSgsXXSQ7ndksKysjNTWV8vIYXn11IIMHq7zxhk7eBMAPPz8/uzVHUVEROTklPPVUFdnZAnfemU9ioi8QDJj4/XeRxx83ceutUqvPs+bg2BbWSeHOnTvx8vJCFEW7b6H+fcnJBh591JMXXqhrcnymo+GuFcGOsivqKMiy3G2b6qqqqi7zEIyKiqJ37958//33duJXUVHBn3/+yc0339zh73eCCLYBjv6AEyZMqHex6NWkpmLmOhqCoOXzPvywkbffbvygcvQ1TErSrEi+/lqLV5s5U+HFFw3ceafztaqqisVyiFNOqebbb09ixYr2SdZFUeSii6pYvdqfl182sGBB2z+jwYNh/Xob119vZP58hbPPdm320GAQmT27mAsuCOauuwwUF8Mll3gwcKDCBx9Y+PhjIytXCjz0kK2Rr6C3N1x/vcS110p8953IbbeZ8fKCiy6SmTFDqxIWFBSwY8cOoqKiGDhwYLcOf1ut2hzg++8bSUpSeO89C00Vm/TYtbq6OiorJzFkiB8Gg/b7HzwosmtXbaOklJZQVwc33ujB8uVWp36BjjCZTBw+3Ifp00WmTJlity85dOgQO3bsICAggJCQEEJDQ/H21uxLCgsFBg9WKCwsZPv27fj5jSUoyBeQ6dVLpbq6+ff08cH+PTExCrt3i0yZ0vg8mjFDYcUKEwsWSDh7LgoCLFliY8UKI2vXGrnwQg/efNPK4MHOPy9BgClTFCZPruWvv3awbZsne/cmcvXVZlQV+vdXiIjQyGloqIqXlyZ+Mhq1dmVNDdTUCBQUaF6IeXnaZ6GqWot72DCF+HiFiy+WWvR1VBT480+R11838skn2uPgssskVq+2Npn1C1BUVMRnn2XxzTenMGiQJy++aK2nxG8Ik8lMcnIEr70WxS23WJk0qeTvLO1D/PXXbj7+OB7wYeXKSvr29cZZrGFHQFVVduzYgcViYdy4cRiNxnrVwg8+EPnySzPvvltJYKCAoghdQs7csSJ4ojVcHx1dEayqqmL//v32/z906BBpaWkEBQUxYMAA7rjjDp544gmio6Pt9jF9+/at5zXYUfjHEMGueuC64g9oMBjaLIpoC0aNUvH1hV9/FZg0qf7DRxTFeqT0wQdlZs0yMWmSwvz5munzn38KjB9f/+dkWWbHjh2UlpaycGEiixb14ocfZKZNa/sOWa9OLlokc9ttRj79VGTWrLZ/TsHBsGGDxIIFRrKy4JZbWn4tfQ3Dhyt8+qmNN980YDDA7t0iEyd6sXChjccft7F0qQkPD5UHHrA1esCJopZ8csYZVnJz4d//NnLppWZ8fSsZNSqP2bNHEhnZhD9PJ0M3sf73v40kJ4tccIHM2rWWZm1S6urqSE1NpbTUl40bx/Hxx2bGjZPZutXA1KlaBbG1hQFZhhtvNHPrrY0JdVP4+GMD110nNYq9q62ttbeQDxw4gIeHFnuXnT2YgQNLyMjYzsiRI0lPD7RXHX18Wq4IamRRqwjGx6t8+aXzh57BALNnS6xfb+Cqq5revNx+u8Tw4Qr33WfmnHM8ePBBG3Pnyk7b6LpRtNEocuONsX+LViyoKhw9qpmI5+YKZGeL1NWBxaKJYzw9tQ2Jl5dKZKTChAkaYQwJocnKfkMoCvzxh8jGjQbefls7sLGxCu+8Y+Hcc+UWE1G+/76Y554T6ds3gZdeMhIR0bxx9v79AosXmxg50lEMEkhQUCBHjsTw6qsGrrkmj6FDd7FnTwkHD5rt1eCWPClbA0mSSEtLQ1EURo8ebd/A65F2S5YYsVpV1qypQRBUZPn4/aQt9jStga4YdjfVsDu2hruLnHZ0vNy2bduYNm2a/f/vvPNOAK666ireffdd7r33Xqqrq7nhhhsoKytj8uTJ/Oc//+lwD0H4BxFB0MhgZ4k0VFVl3759HDlyhPj4eMKaMuJDI4J6u6GrsHixNjf35Ze2evN3DUmpl5f2vQ88oEWrvfyyltH74Yc2e7Worq6OlJQURFG0m0QvXSpx0UUm4uOdp0G4Ap2ECQK8+KLEFVcYCQ93LTWkKXh4wJtvSjz9tIG77jKwdKnc7Pyh4/C4wQC33ioze7bCo4+a+fNPkZdeMvHSSyaWL9cqInfdZSY4WOW22ySn3nZ9+sDNN1uZOnU3O3bUkJWVyL33eqMoMG6cwrRpWnWmMzsslZWaxcZPPxnIyBAZNUrhwgtlHn205Vm+yspKfvllO199FUtqajhFRdoPbN1qYN06C7Nmtb5qqyhwxx0mzjpLZvp014i+xQL794tOzay9vLyIiIggIiICWZbtCRgZGRWMHr2LyEh/ZFmmrk7GbBZRVW1+tqWKYFiYNhcImnl0Xl7TH9bcuTIXXODBxRfLTSbzgFY9HDHCwr/+ZeKee8xs2KDw+OPWeikczRlFCwL076/+nbbRcaiqgp9/FvniCyNr1mi3/YgIhWeesTJrltzi+6kq/PSTyHPP2fD0lHnySTOJiUag+VbzsmUm9u8XeOopW722dFERLFlixstL5eOPbfTqFQwEI8sypaWlFBUV1fOk1ImhVxtz+6xWqz1jOjExsd5nXlkJN99s5vTTZebNkwFzvXlC/c8No+/0/3YE3M06BtyzItjdquGObA1PnTq1Wb4iCAKPPfYYjz32WIe9Z1P4RxHBzoLVaiUjI6PRPGBTaJg33BUICoJZs2RWrxaZP7/+TrahQm7SJJVPPlH5/nuB005Tefxxraq2Zo1EWZlzk+hevbQZwzvuMPLee1KrxAKOa9E/F5MJ3n5bYs4czSja2WyWqxAEeOABmQ0bRObONfLqq85n9/TPoLKyktraWnuLMTwcXnvNytatIo89ZqKkRODuu7U5lGeesXLyyTIrVpgoK4Mbb5Q4+WTF/vvrs6KSJHH++Ql4ehoBKxYLbN0q8u23BpYuNSJJmrAhLk4hNlahf3+Vfv3UZklFQ0iSFjl36JDAzp1a5NzRowI+PionnaRw+eUSTz7pevJIZmYxzzxTy+HDEwgP92TXLhGbTfvh3NyaFpWazqCqmvFvYqLCnDmuXwNffmng7LNb/n6DwUBISAgFBQVUV5uZPHk4VVVVf2eFqqiqFyUlMhaLJ1Zr86r2fv1UMjO181sQwGRSqanBqYDCbIaFC208+aSJp55qvgLWt6/Khg1WPv/cwKOPmpgyxZMZMxRuvtnG2LHlpKWlEB4eTkxMTKc9/G02SE8X+eknkfXrjfbM5OhohWXLrFxwgeySTY8sw1dfGVi92kBUVDHXXrudadNGNJuNLUmwbp2BDz80cvvtNh55RKn3eu++a+Tzzw08/LCNMWPqbxT04xsSEkJMTIxdUJSfn8/evXvx9vYmNDSU4OBgAgICXCIq+sbWx8eHuLi4ej9z6JDArbeaWbzYVs/+x5ngxPHLFXua1sBdSZe7remf1Bp2J5wggi1Ad/j39fVtNA/YFLqDCAJce63CeeeZuPBCxU6EHG9kjhfQY4/JXHSRifHjbYwfr/LLLypLl1aQlLSNoUOHMmDAgEYPqTFjVGJjVdauFZk3r/Ut3YbVSV9fePttG1dfbeKtt2xERrbhl3bAnDkKQ4eqzJ1r4q67JGbMcPSI03b3wcHBlJWV8fvvv9OrVy+7itHPz49x4xS++MLCF18YWLnSSF6ewP33a4Tw0Ue1ysn77xtZtszEmWfKnHVWBbm52qxoQkJCPXGQhwecfLLCyScf/33z82H7dpFdu0S++07g2DHh79Zk/axbs1l7kDtuFlVVM08OD1eJjFQZOVLh/PPbFjm3d6/ACy/UsXu3mSlTfPj+ex9+/117kZdftrQpCQO0SuDdd5sYNkxt9WusW2dk7dqWvbhsNhsZGRlYrTb8/QMJD+9FeHg4gwcP5t13DRiNNSjKUbZuzaCkZDy7dx8hNDSUwMDARg+Qfv1Utmw5/uFNmqTwyy8ip5/u/Nw+4wyFzz838ssvYrO+eKARywsu0IQhGzYYeOUVE+ef70lAAJxzzjguu8ybAQPUJlW7rYEsY98cJCeLfPWVgb17tQe4KKrMnSuzZImNKVNkl8l9RQWsX2/kyy8NnHGGxOLF26mpyScpKanJjbCqwqZNWoTchRfKfPFFfYFQcrJmrn3eeTKffmpp0TnA0ZNy4MCB2Gw2SkpKKCoqYvv27fbrWSeOzkQENTU1pKSkEBgY2Ei49dNPIkuXmnjzzZb9HRsKTo5bTakdUi10RyJ4ojVcHzU1NXY17z8NJ4hgM9DnAaOiouxB9a6gu4igwQAPPSTx2GNGXnpJsq8FGpfUe/WCe+6RWLLEwLJlNs48cze33dabiRPHEhkZ0OR73HOPzIUXGpk0SWk23s4ZnCWL9OkDb75p48YbTTz3nOTyPFlTSErSbGIefNDIt9+qPPmkjKfn8Zt2QEAAY8eOrWd0fPjwYYxGo12McO65QZx/vsymTSKvvaa1tpYsMbNkCYwbJ/PEEzays6u47TYLgjCOyy/3ZPBgudk5PNBMscPDlWbbpap63N+uI+93lZXw9dcGPvnEgIdHOYMGHeHbb+PYtk07J847T+L1161Niklags2mtddOOUVvr7mOP/4QiY1VWvz89FlGDw8P+vcfS79+9a/HykoDgwf3Ij5+CPHxkaxYofnI7d69G6vVWo80eHp6EhGhkp19/DVmzJBZtcrYJBEErUI8Z44HK1da6dev5XPVZNJ8BKdPP8q//32UXbvi+M9/Alm3Tju4sbEKo0crREcrREWpBAerBAVpM7+iqBFKSdKIWUWFQFmZwNGjAkeOCBw4IJCSInL06PETpXdvhXPPlbn/fhvjxysMGNC6jcLu3ZrH4JEjIpdfLvHvf9eyd+8OKisrGTt2bJOt2dRUgSefNJOQoLBxY/2Z1OJieOwxE5IksGpV2yxhQBMUhYeHEx4eXi8LVqsGa/Y0+jXs6+tLdXU1ycnJTquvq1YZ+eknkY0bndv9NIeOMLNuCHclgu62pv8v9jFdjX8UEeyoGcHWzAM6Q3cRQYCJE1VWr9YEA/Hxx53zna1n+nSVjz5SeeedfcTEFPPOO5HceKM/SUk2mup+Gwzw8ssSN9xg4v33ba2KW2oqYm7gQFi71sY115h44AGpXTODoLX2XnhB4r//FZg1y8gTT1gZNeq4PyDUDxhXFIXS0tJ6WbnBwcHExYXy4Ych/PGHF2+8oT0c09NFTj/dE/Dk7ruLuOoqM7/+CvPna4rPyZMVTjtNZvjw1lfqQHvwuxKv5gqKi2HzZgNff22grg7OPNPG6NHZPP54NJplB5xyisyzz1oZNartn3l5uSYMmTtX5txzW3/ev/CCkZdeasYVneNK/ZCQEIYNG8YPPxgZNqz+uWSxaNUxb28Vg8GA2Wxm2LBh9hZjYWEhubm57Nmzx14NLiuLto8MxMSo7NkjOk0Y0eHnBytWWLnhBjNr11pcmpfNzs5m//79XHJJHKGhZlS1joMHBX75RavgpaWJfP65iYoK104Yo1ElIkJl0CCVOXNkYmNtxMZq1fC2zJFbLNomYf16I/36KcyfLzFypFblSk9Px2azMXbsWKcVt6wsgSefNOHpqfLyy9Z6PoOKAmvWGPj4YyOLF2vEtKPgmAU7ePBgLBaLfWOXnZ2NIAhIkkRoaGi9TbzVCvffbyIoCN55x9ohm62mqoWOrWT9+3RBSFtSTroa7kgEu7s13FX2MV2NfxQR7Ai0dh7QGXRLgu7CY49J3HSTkc8+k+w3HWcErKqqivPPz+DJJxPZtGkIvXoZWbRI4q67jLz5ZtNilwEDtNi4q64ysWFD06SxIZrLGg4NhQ8+sHHttUZKSzVrm/ZixgyFUaNs3HWXmbg4A3feKTltR4miSHBwMMHBwcTExFBVVWU3wt29ezd+fn48/XQotbVhvP22xJYtnlRV+bJ8eQjLl2uvcc89NmbNkigoEFizRpvJCg9XGTtWISFBYeRIpUU1ZnuRnw8pKSJ//mkgPV0kIEBl2jSZBQskFi82cOutXkA0ADNnStx3n9SsRYgrOHhQ4LbbzDz6qI2xY1v/Wj//LBIdrdJcx6W4uJiMjAwiIyOJiopCEAT+/FNsVFlVVYHKSrVRZdFZ7F1RURFFRUXU1JTx/ffp9OkTRGhoKImJfdi6VWyWtAwZovLkk1auusqDVassTo2mtfVo8YJHjx5l9OjR9rk6QdDiIQcPluupkK1WKC4WKCrS4u9kWasGenmp9OoFvr4qgYEds1FQVUhNFVm3zsD+/SJnny3z9tvH7YV0cYXRaGTMmDGNPFEPHxZYvtxIRYXAfffZGol8fv1V5NlnNcHQZ591bioHgIeHB3379qVv374UFxeTlpZGQEAA1dXV/PjjjwQGBmKx9ObJJyO58UaZ887rHFcHV8ysoXEL2R3FIu44I9ida+pKH8Guxgki6ADHecCJEye22RC6oWVLV6NPH5g6VWXNGpGrrlKcrqewsJD09HSGDBnA/fd788gjIsuXy0ydqvLTTyrvvy8yd27TN8tRo1Tuv1/immuMvP++1GLSBjRPBEGbGXz/fYkbbzRSVARXXdX2m7W+Ew8K0hIU1q83ct55Htx7r82pV5wOQRDw9fXF19eXqKgoLBYLRUVFFBQUUFS0n7PPFrj66t4cODCQL78M5NAhkdJSgWXLTCxbps2PTpummU0PGqSQmyvwv/+JvPiikdpagcBAlagolYgIhchIlQEDVPr00So5LT0HVFUzDC4u1uxFDhwQ2b9fICtLoK5OICxMZcwYhfPPlzj5ZIFHHjHx4YfHWUNkZC3nnGPgxhvlJj3uWoNvv9Va52+9ZW2TylWWYelSE++91/Rs4LFjx9i9ezfDhw+vF+OUliZy993HNyuqqn0VFR03mW4KZrPZThomTzZiNidgNB4jMzOToUMP8NxzI3juufJmVaoJCSrPPquRweXLrY1GGhRFYdeuXZSWljJ27FiXWkp6cotmV9Q57gfZ2QKffGLg++8NxMcrXH+91IjENSeuOHJEYNkyI2VlAnfdZSM+vv7PZmYKPPGEifBwlXfesbSqY9AR0D0lhw0bZo/pq62t5ZNPali5shfz5/9MUJDMnj3aiICz2dGORHPVQsd7ss1mczvS5W4zgjqR7s6IuRNEsAegPTuq3NxcuxFwa+YBnaE7W8M6FiyQufRSIwkJaj2RhqqqHDp0iAMHDjBixAj69u3L0KEq27bBypWa4viBB2RmzzYydqzarJp38mSV8nKFG24wsmqV82qbI0RRxNpcMDLaw3DVKol77jGwfLkWndeaQ6EPb+ufv77rvuIKmXPOkXn2WROrVhlZssTmEhny8PAgODiYI0eOEBAQQEREBCUlJQQFJXPllQq+viEcPBjBb78Fs2OHkYICgd9+E/nhh+MErE8fhSuvlJk4USI0VEVRNCK3fbvIV18J5OcL1NU5/g6CXTwiCPVFI/7+EBysGYMPGaIyaZJml7Npk4F164ysW1f/ko6LsxIUVMj559uYNy8UL6/2EwyrFR55xITFAh99ZGlTOxLg7beNXHih5LS9qqoqWVlZZGVlkZCQUC/XWpJAUYR6m4+yMggI0PKCW1MxGz9eYdeuQE45xZeYmBgSEqrZsMGT/fsPsHfvXnx8fOxzZ/7+/vXuC7GxKu++a+H2282ceqpGqgwGrWqRnp5uNy326Khefxtx4IDAZ58Z+OknA337qlxwgcSCBZLTKl11dTUpKSn2VBz9983J0SqAxcUaAWyY5lNUBM88Y6KwUODhh127tjoaeXl57Ny5k5EjRxIeHg7omw0/iov92LTJhsk0zi44aWp2tLPQVLVQt0QyGo1YrdZOsadpC9ytNazf20/MCHY8/lFEsC1o7zygM7gDETQaNX+9uXNNLFjgab/h6CbR48aNq2cBsWSJzHXXGRkwQFNHvvKKxPz5Jv79b1uzD/qZMxVKSuCuu4y88ELztjKuGm2LIixfLrNsmYH77jPwzDOyS7M8jko+7XXq/1BAADz9tI39+7Vq2YABKvfea6MZJwyncXG9e/e2D6sXFhYyYMAegoKqmDs3gPLy/qSnh5GR4UlBgTbYX1IisHSpCWisOO/XT2H4cJXYWC0D2s9P/TtFQsVg0Oas8vO19Ii8PIHMTJHPPzf8HY3WGCNHKvTurRIdrZCQUEhAQBqJidH26kh7kZ4u8OCDZq6/XuKCC9p+jmdnC3z7rYF//7txNVBRFPbs2UNRURFjxozBt0Gvd/t2gZEj659HR44IDBigsmPH8c9FVVveQZx0ksIHHxi56Sbt/318fFi4UOTnn8exaFGN3bMwLS0NaBx7Fx4OH3xgZdUqLXrwrrtq8PTchsFgYMyYMd0S0WW1amkh331nIC1NZOBATWF+++3Ok1F0lJeXk5qaSv/+/e2b4X37BF5+2UhpqUYAHf0QQUuPee01Iz/+aOD+++tbsHQlcnJy2LdvH/Hx8YT8HaeSnw+33urBrFkSS5bo56qB0NBQQkNDUVXVPgaiz47qxD8kJAR/f/9OJUL6a+/du5fKykoSEhLs98iOtqdpC9yNCDpu7rsaqqpSXV3d6F70T8H/ayJotVpJT0+nrq6uzfOAzmA0GrFYWrbC6GyEhMCzz0rceecI3nmngr1799YziXaEKMLrr0tceqmRPn1URo1SWbBAZtEijeA1hyuvVCguFnjiCQOLFzdNDlpqDTtCEODee2XeeUfkqquMvPKK1CxhczR/dRSFOMOQISpr11r54QeRyy/34IILZK68UmpEePW4uEGDBhEZGVnvNR2H1R3TLwyGY8TH72DiRG9CQkKQ5XD27QskLc3AgQMCVVUaoauu1hSlRUVa6/h//3N9lxserjJokIKHh5Yo4e2t+RPGxyskJiqEhakcOHDAvrkJaqsDuANqa+G550xkZgqsXt30XJwrUBS4804zy5c3HtaXZdk+oztu3DinFZpvvjFyxhn1z7NDhzTCk5Fx/JbmaMnTFPz9obJSQFGOq7SnT1d46y0jRUUm+vTpbSf+5eXlFBYW1ou90+2H5s/34Ywzqli8uIK8vHhuvdWrUdu0syBJGjn+4w8Dv/wiYrEIjB8vM2uWxCOPqC5tooqLi0lPT2fw4MFERkby++8ir71mpFcvWLCg8QygJMEHH2gCk+uuk/jsM0ubxFEdgaysLA4dOkRiYiKBgYGANqP45JMmli1r3LbX0XAMxGaz2Yl/eno6qqrWI/4dnXGrKAo7duygqqqKsWPH2u/JXW1m3dTa3E3Aoj87urM1/E+tCApqZ0VxdANkWXY50cNxHnDUqFFtngd0hoMHD1JZWUl8fHyHvWZ7sGRJJgcOeHLffWWMGDGi2Yu7qAjmzjWxerWNfv3gkUcMBAfjUi7wQw8Z6NdP5eabnZO9w4cPU1xcTFJSUqvW/8cfAkuWGHniCYmxYxufro5zNy2RwIaQJNi40cAHHxiZMkXm+uslAgJU+8Nl5MiRra4SS5JkVzAWFRUB2NuLwcHBGAxG8vLg8GGRkhKB4mIoKdEqh3oahqIcbwn36gX+/ir+/tp/+/ZVGThQmy1seE9UFIWdO3dSVlZGYmJiuzc3qqqZPb/+upGbb5Y499zWteqdYflyI4GBcN119a9Vi8VCWloaBoOB+Pj4Jqtp553nwWefWeoRnKef1vKUtaxobfxg9mwzH33U/CgCwOOPm5gxQ2bChOPnbXKyyHvvGVixwrl5tGPsXUlJCR4eHvY2Y9++o/jwQzObNhmIilI480yFk09u2V7IFUiS1urdsUMzFN++XVM5x8UpTJggc9JJSquNwPPz89mxYwcxMcNJTY1g1SojI0Yo3Hqr1Mh0Wpbho48MrFlj5MILZebNc20+uDOgqtqGJycnh6SkJPz8/FBVePFFI9u3i7z0krXNn7lO/HVRUVVVFX5+fvbruFevXu0aH9I3PBaLhaSkpGZJZkN7GsdHdmdVCyVJ4qeffuLkk0/ulqq2M9TU1LB161amTp3a5e+tqirh4eEkJycTGxvb5e/f2fh/WRHsyHlAZ+husYgjjh49ysSJB8jKGs/evQOIi2ue94eEwKuvam3hjRttLFkic/fdBlatErnuuuareY8/LnPrrUY2boRLL238va2pCDpiwgSVDRts3H67kcRElTvuON4qdrRoaC0JBK2FPneuzOWXa76B119vJiioiDPPLGTGjDH4tSFew2g01vM7Kysro6ioiAMHDrB9+3aCgjSFanx82yOznMFms9mzVDtiNu2330Sef97E6NGyQ0Zs+7B5s8j+/SKvv16foFVXV5Oamoq/v3+zm5WDBwUGDlQaVbl27xaZNElh4EDt/G7N9vbiiyXefttYjwiOHq2wZo2Bn34SOeWUxuesY+xdYWEhGRkZ9OrVi/LyckpLf+SUU4K58MIQKivD2LzZkw0bzFRWamKhQYNUBg7UKrf+/uDnpxF6VdU2AFVVAqWlUFYmUFAgcPiwNmJgsQiIovbzI0cqnHeexAMPqO2KL8zJyWHbtkPs2jWJ55/3Z8YMmffeszSqvisKfPaZgVWrjMycqZ0PnThO1yJUVWXv3r0UFBQwZswYevXqRVkZLFhgZvJkhVWrrO3asDTMu66rq7NXC7Oysuy+o3oecmsKCbIsk5aWhizL9TKPm0JzZtau2tO0Ft1dfXOG7lQMS5JEXV3dCbHIPwGdMQ/oDN1tHwPahbxv3z6OHj2Kn58fS5ZUcdddoQwfLrdo2jxkiMqDD0rMn29k3TqJZctkbrvNiJcXXH55c4pbWLFC4uqrjQQFqfWSPaDtRBAgMBDWrJF4+22ROXOMvPyyjdDQxqKQtkIQ4NRT6wgOTmfHDh8++2wi//2vgWuvlRg3TmnzQ0UQBAIDAwkMDCQ6OrpRZJaPj499ZsnPz6/Nv0NNTQ2pqalO82tbA1XVDJ5feslIVJTKa6+1rw3siH37BF54wcTGjfXbiGVlZaSlpdGvXz+GDBnS7Gfw+ecGp16F1dUChYUaSQStcuYqQRo+XGXfPhFJop6A4oknbFxyiQcxMRb+1h40gi5Q0FXNjkbH2dnZVFXtYswYf848U6skWa0+HD4scuiQ9lVRoRE+vTUtCJpNTECAJn6JjVU46ywte7gjNSeqqvLll3msWuWF0XgK110nct99jdM+VFXzGHzjDSMzZsh89JGlQ9JQ2gNdkV1WVmY3uU5NFXjgATOPP944tq4j4OnpSb9+/ejXr5/dd7SoqIjMzExqa2sJDAy0V/ybax9KkkRqaioASUlJre5EtWRm3ZQ9TWvh+Drugu5UDFdVVQGcmBHsCWjupHWcB5w4cWKn9vq7Wyyi59/qXoj79u1DFGXefFPiyis177+/R2maxKRJKjk5CvfcY+T556W/TaQ1MjhrVtM3WqNRyxC+7DIjXl4ykyfXb2O0lQiC9pCcP19h/HiFefNM3HWXlWnTsO+C2wO9IuXr68u8eTFcc43MgQMK69YZefxxE5MmyVx2mWyvOLUVPj4++Pj4EBkZic1ms7cXU1JSEEXRTgqDgoJcvunpRKpPnz4MHTq0TZ+FzQaffmrg/feNjBql8MILtnrmwO1FXh4sXGjmnXfqE4n8/Hx27txJdHQ0ERERzb6GosD//mdgwYL6LeWKCvDxUdm/X2DqVO38qqtrnXp4xgyZr782cP75x69bX19YvtzKjTd6sH59YwKkG0U7ChQaGh3X1dXZ24sHDx7EbDYTGhrKKad0vnWJM5SVwSefGPjgAwt9+wo8/rjX32bi9e9XNht8/LF2PkydKrNhg8Vlv9DOhKIo9hlSzeTag7ffNrJ5s8i6dV1jV9PQd7SmpsZ+He/btw8vLy97tTAwMNBOxGw2GykpKZhMJuLj4zvk2LtqT9PaaqFefXMnItidqSI1NTUAJyqCPRkd5Q/oKrqTCFZVVdk9wPTfVSdgYWHw5JMSN99sZP16qcUh8ksvVTh0SODllw3cfrvMG29ovoFeXnDmmU0TOk9PrXo3f76R3FyF2bOPty7aQwRBq2TExsps2GBl0SJPfv7ZyIMP2trVHispKSE9PZ3+/fvXq0gNHqyyZIkNRYFfftEMcvPzBc47T+L88+UWyXRLMJlMLaab6GKEptq8eXl57Nq1yyUi5Qw7dgisX6/NVJ13nsz69a2P3GoJBQVw3XUevPiitZ5xtE6kXJ3D3LxZZMoUuZHtyZ9/iowbp7B1q8gtt2gksbqaVv0eV18tMW+eB+edV38GcsQIlYULbVx7rZl33rHi5dW0UbQzeHp60r9/f/r3748sy/ZjvHv3bmw2m31MoLlj3F5IEvzvfyIbNxqprYVx47JYtCiLiRMT8G7AbmtqYM0aI198YeDCC7UKYGcbobsKPelEkiTGjBlDebmJO+/UYu3WreuYlJC2wNvbmwEDBjBgwAAkSbLb0+zcuRNJkggODiYgIICjR4/i7e3NqFGjOqXF2VYza2dwN8UwdG9ruLq6Gk9PT7dqlXck/vFEUJ8HHDRoEIMGDeqSHU53EUHdJDoiIqJeZchxPWPGqJx1lsLjjxscLBWaxn33ydxyi5EvvhA57zyFVaskrrzSiIeHyrRpTVeMfH1h3TqJu+82cvCgwL33yu2enXTc7fr6irz6qo2PPjJwwQUePPCAjUmTWk8yc3Jy2Lt3bz0D2oYQRTjlFIVTTrFSU6OJJxYu1Ga+xo+XOf10LT2kPfeohlUGPRLNMd3EcVAdjqsl4+LiCHUxwFVVYdcugW++MfDzzwaGDlWYO1fiySfbFonXEvLz4dprNdPlmBh9fk8b0cjNzW2RSDnivfeMLF/eWPzx++8GzjlHZvNmg10cUFYmEBDgekXTzw9GjVL49VeRyZPrn0fTpikoisTcuR688UYtBQWtM4rWYTAY7JUiR+sS/Rg3zMptz71KUeCvv0Q+/dTAjh0ip50m8/jjdRQWal2RpKTR9YhnSQm89ZaRX381MG+exBdfdH4aSGtgs9lITU1FFEVGjx7Njz+aee45E08+aW1kadOdMBqNhIWFERYWZj/GeXl57N+/306uDh48aLen6cznUWuqhQ0FJ+5mJg3dWxGsqqrCx8fHrSqkHQk3utTbD8eDpCgKmZmZnT4P6AxdTQR18939+/fbTaId0ZCAXXWVwsKFx8ldc9Dn/ubMMdK3r8qYMSrvvisxd64RT0+ZiRObvgkbjVrm74oVBm691ciSJa75CDpDU6KQ2bNlTjtN5oknTLz3npFHH7X+nczQPFRVJTMzk2PHjpGYmOiyxYq3N1x6qcyll8rYbLB1q8gXXxh49FETISEqU6bIjBmjEBPTWNHrKhpGounpJrp1idlsxmAwYLVaXSJShYXw228Gfv5ZZM8ekdhYhXPOkbnjjuZ95dqL/fsFFiww88ILVoYN084TWZbZuXMnFRUVjBs3rlFFqikcPCjg4YHTWb30dJGFC214ex8/F0tLNWFGa7BggY3rrvNg4sTGs3KnnaYQGFjLRRdJXHWVgSuvbJ8Yp6F1iWPs3eHDh+uJETSlecsnkyzD77+LfPaZgT17tCrpZZdJjBqlIkkakRIEoZ6/4fbtAm++aaKwEK6/XosddLdnncViISUlBU9PT2JiRvHQQ57U1cHHH3f/vGJzEAQBo9FIfn4+4eHhREdH26uF+rFo6EvZWXCsFur3YMdqYUN7GkmS3K4i2N0zgv9U6xj4hxFBHV05D+gMXUkE9QdrcXFxI5Po5tazbJnExRebGDpUtT+km4LJpKV9zJlj4o03bAwcqLV+L7/cxKOPSiQlNf3zggALF8p8/rnIDTcEMn9+624uTSWFOCIoCJ5/3kZ6usAtt3gwdarMLbc0TXIkSWLHjh1UV1e3uqrjCJMJJk1S7JXI/Hz45Rct4WPfPs3WIzpaYfRoLWt44EC1TW02Dw8P+6B6XV0dqamp1NXVIYqiPQVCby9WV5vqWYscOSIQGqolkMyfLzF0aOdU/hri9981H7fVq632WUNd1ayqKuPGjWuVL9tTT5m4++7GVi5lZVoWb1qaSFLS8U1GW4hgaChccIGmIL7xxvpziFarFZstlccf9+DDD8ewa5fAokU2XCzEtgjH2DtHMcK+ffuwWCx2MULD2LvCQvj+ewP/+5+BwkKBCRNkrrtOYvjw47+7fs54eXkRFxeHqhr49FPtPI2MVFiwwGav1robamtrSUlJwc/PD1GM45JLPLj5ZomZM93DlaE51NTUkJycTEhICMOGDUMQhHqjILohve5L6e/vbyeG7bWnaQ46wXOsFjp+ybKMxWJBEAQ7IXQHUtidrWHdQ/CfWhH8R/kIqqpq3235+fkRFxfX6fOAzlBTU8PPP//MGWec0anvo9/gARITE5uMR8rMzKSuro64uLh6f5+bC1dfbeKjj2wueY8dPgzz55tYsUJi2DCVsjLNc3DpUqlFJTLAli013HefzIcf+hIZ2fL7OVPCtXQhqqpmdLtunZF77rExbVr9CmRdXR1paWmYTCZGjRrVqbtwRdGUsikpIjt3ihw+rGUCq6oWExcVpc1tBgaqBASoBAaqBAZqwgdBoN6XLENBgYVt2zKxWr0IDR1MUZGB/fttHDxoo6hI89AMCBCJi1MZN86T0aPN9O3bNcRPh6rCG28Y+eMPkZdfttrPq9raWlJTU/H29iYuLq5VO/v0dIG33jLx6quN28IffmigthaOHhU47TRNSATw/vsGvL1h1qzWEQZFgYsu0uYZIyO1c7qmpsZORkaOHIkoivz+u8iyZSZGjFC44QaJiIjOuY2qqkpNTY3dkzInp5pDh/pw4EBfsrL8CA01Mn26VhV3nL/UoZORwMBA/PxGsH69iZ9/NjBzpswVV0it9hzsShyPuwvhp59GsmWLodGcqbuiqqqK5ORkevfu7ZKAy1FUVFxcjNlsrmdP01WVMEVRqKysJDU1lX79+hEREWH3Lezu6LusrCyqq6sZMWJEl7/3J598wquvvspff/3V5e/dFfhHEcGamho2b97cpfOAzmCxWPjhhx84/fTTO+2CKSsrIzU1lZCQEGJjY5u9UTRncP3HH5oYZO3alsUjoKk/r73WxJIlEuPHqxQVwZVXauQwOrr5U6mqqorPPktj3bppPPmkxOjRTX+/4zxLW2485eXw9NMm8vK07NNBgzSD2LS0NEJDQxk2bFi37S5VFYqLIStLpLBQq16VlQmUlmr+cdXVGll0/FIUK3V1+YSGehAVFUxAgFbBiohQiIjQ7Ebq6uooLCy0mxx7eXnZVcidHZcFUFoKd99tJi5OYeHC4y3GiooKUlNTCQ8PJyYmptXX5WWXmVm2zEb//o3Pl2uuMfPMM1ZuvVVT9upFxhUrjMTHK0yZ0vpRhKwsgdtvN7NhgwVJ0tbu7IGuqtpowMqVRioqtGjG006TiYzsGPJdVQU7dohkZGhfOTkC/v4yI0ZUMGRILv7+RzAYjpuVBwUF1dvYVFRUsHVrOnv3DuWnnyLw9YW5cyWmTGnfPGtXoLKykuTkZDw9I1mxIobJkxVuusm1e1R3Q1+7Y1Rfa6CLinRiqFeEdWLo6jhFW6CvPSIigsGDB3eLmXVTOHjwIFarlWHDhnXJ+znivffe45NPPuGHH37o8vfuCvyjWsPe3t5MnDix2yXeOinrrFL20aNH7UrRhtFnztCcSGPCBJUDBxRuusnI669LLc619e4NGzbYuPpqIzfcoKUmrF5t45prTDzzjNQojL7hOkJDq9mwwcZ11xm5+mqFc89t/KBuT1KIDn9/eOYZG7t3Czz5pAmLpZbTTtvLtGmRLn1mnQlB0Iy7Q0JcIyn1o+7CEATnx9LT09NucuyYbpKeng7UTzfp6Er5d99p5tOPPGKzV+UAioqKyMjIcBrT5wo2bRIZMkR1SgKrq6GiQsDXF0RRrZdwkZMjcPbZbdvjDhyocvfdNubNgxtuSGHo0IFO1y4IMH68wvjxVqqr4b//NfDii0ayskS8vVWGDtWiAHv3VgkPV/Hx0SxtjEawWLQvzf8QCgsF8vMFsrIEcnO1sQIfH804etQobaazTx+dYHoDg1GUKHv6hW5WHhgYSHBwCLt392LNGoni4klcfLGZN96wtlvl3lXQN7nZ2SP58MP+PPuslZEje0a9ory8nJSUFAYOHEhUVFSbXqOhqKihPY23t7f93wMCAjrsGVNRUUFKSgoDBgxg0KBBQPOCk84ys24K7tAa/qfiH1URBG2Wp7t/JVVV2bRpE1OnTm2yXdvW1927dy85OTkkJCTYvctawpEjR8jLy2Ps2LFNfs/GjSLffiuycqVrAgKLBebPN3L66QpXXKFQXAw33GBk7lyFCy90TnDq6urYsmULp59+OpIkcvvtRmJiVBYuPJ4U0hEk0BG6kObXXwv44Ycx2Gxe3HGHVG+ezJ2hW6yMGDGC8KZcjVuAY05uYWEhNTU19WxL2pNukp8PjzxixsdH5bHHbPWG948ePcqePXsYMWIEvdvQz6uqgtmzPfjkE+eigHXrDKiqZjaekyNw003H5/quuMLMypXWNluf5Obm8u67xWzdGsvatWKrPfRqa7WxgKwskbw8LSGkpka7bmw2jRCazZrFTWioSmioSliYSlSUSu/eruUDO0JVYds2C+vXy/z1l8igQUWcemoBJ53Uq8MJQ2eiuLiYP//cweefT8DXtxePP25zG/uallBaWkpaWhqDBw9mwIABnfIe+gZPrxYqikJQUJCdGLZVwFRRUUFycjJRUVEMHDjQpZ9paE/T2S3kvXv3YjQaGTx4cIe9pqtYvnw5e/bsYePGjV3+3l2Bf1RF0F2gXwAdKRhxNIlurQDGUSnWFC69VMHDA665xsiqVVKLZrweHvDOO5o9TEGBwJ13ymzYIHHffQZ27jTw4INyo4eZ487SbBZ5/XWJN94QufRSI88/b6Nfv45LCtHfZ9euXZSUlHD++YlccYWBnBwbL75oZOlSI7fdJjWyCnEX6KQ/Ly+PpKQkAgIC2vxajnFZ0dHR9pmz9qSb2GywcqWRTZsMLFliq0esVVXl4MGDZGdnt0qR3RAPPGDivvtsTSpD//1vI2vXWrj7bjMPPFBfSFJXJ7SZQBw+fJgDBw4wf/4oTj7ZyKWXmnjxRWuLow+O8PKC+HiV+PjOEzUoCmzbJvL11waSk0ViY03MmJHLOedkEBs7HIOhP4WFhWzfvh1FUeyiouDg4FYJdboK+fn5bNhwjC++mMqiRQLTpzvPeXZHFBcXk56eztChQ+nfv3+nvU/D+MrKykqnFkQhISEuX8t6FVOv2ruK1trT6H9uK2RZ7jSvzZZQXV3d7Z3GzsQJIthJ6EjlsD407e3tzYQJE1otcHCVlF5wgYLZDFddZeTdd6UWs0QNBnj+eYlnnjFw//0GnnpK5vnnZVauFLn6aq3V7MhXHY1OQWut3XyzwqmnKtx0k4nLL7cxezaIYvuTQnTluJ67q1dm+/dXWb7cRkEBvPKKieefN3HJJZpBtLtUHmRZZvv27dTU1DB+/PgOzSMGbYQiMjKyTekmsgwbNxpYu9bI5ZdLfPqppR7hVxSF3bt3U1JSwtixY9t88/z8c80TUE8KaYhduwQiIrTzNTdXaCTWEITWdwUcLYV0W57JkxXeesvKnXeamDBB4ZZbWt4kdSZKS+Gnnwz85z8Gjh4VGDNG4dxzZZYssZGdrflKxscn2Mm37menK1QPHz7Mzp077QrV0NBQt1BD7t+fy4MPCvj5jeLTT1X8/HpOo0on28OGDWtk3dWZEAQBPz8//Pz8GDRoUD0LouzsbLs3qbP5UR16G769VcyWzKwb2tO0pVrYna3hqqqqE0SwJ0EQhG5vDUPHEcGmTKJbuxZX/fvOPlvBZFKZO9fImjVSi+kMggCLFsmsWiVyww1GXntNYv58zUdv9mzNbka/vzjuHnWoqsrgwTIffWRj+XIT8+d7sny5lTYWkYD6cXFN5e6GhcFjj9moqNCi1ebO9aB/f4V582RGj257tnB7YbFYSE1NxWg0Mnbs2E5VNUPjdJOysjIKCwvZu3cvFouF4ODgv81vQ/n8c2/Wrzdy7rkyn31maUSIJEkiIyMDq9XK2LFj2zwWsXevwDvvGPnwQ0uT3/PCCybuvdfGt98aOP30+tdZTU3r4uWgcX6tY8W9Xz+VDRusdvPyWbNk5s5t+droCJSVaYKUH380sHOniL+/yimnKDzwgM1OfhsSWL8GUmDH2LshQ4bYFaqFhYUcPHgQDw8POyl0jETrKnz8cRHPPefP/fernH++e5kYt4T8/Hx27NjByJEj2zy60VFoaEHUcH40ICDAXi308fGxk8C2phI1h4bVwob2NA2/z5Vzrjt9BGtqagjsKUO2bcA/jgi6CwwGg30X1Ba0ZBLdGrS2TT1jhoqHh8zcuUbWrpVwJWf7uusUQkPhiiuMrF4tccopKhERNm64wcTDD0ucdJJqHybWiaBjK8FsFnnwQZnkZJUrrvDgjjtsnH5669u2xcXFZGRk2FVvLRFnPz+46iqZq66S2btXYO1aI488YmLGDJk5cySnBsadhcrKStLS0ggMDCQ2NrbLH8iiKBIUFERQUBBDhw6lurqafftKWLbMyNatEtOnH2L5cpmIiBDM5l7A8c9WtzLy8PBgzJgxbRajFBfDHXeYWb3aQlPdy8xM7X2jo1WWLDHwyiv1bWX27hVa5YvXkMA6az8JAlxyicysWTKffmpg3jwPQkJUzj1X5uSTZVwMR2kWJSWwe7dmNbRtm0hhoYCfn8rYsQpz5mgWTQ1PiYYVWFdGRhrG3jmLRGvvzJkrqKxU+de/6igvV/n4Y4l+/dzYy8YJcnNz2b17N6NGjXI52aerIIoigYGBBAYGEh0dTW1trb1aeODAAYxGIzabjf79+3d6FdNZC1knha2pFnZ3xNyJiuAJtBqtqcI1hCsm0Z29llNOUTGZZC6/3MTatTZcGVE77zyFoCCVOXNMvPOOjago+OgjGzfdZGTfPoWrr1bsecNNiUJGj1b4+GMLDz9s4ptvDDz5pM3lyoseFzd8+PA23dxiYlSeeMKGJGkq2HvvNWO1wvTpCmeeKdOvX+dVmnUCqyv2urNVp2XTGvjggyBkOYgrrpB49tk6iosNFBaWsHXrQcxms72FbDKZSE9PJygoiOHDh7f5Zl1To2USP/ts8+kwy5dr5tJHjgh4e9Ooerxrl8jw4a6d71ar1V6BdYXAmkwaIbzkEpkjRwT+8x8DCxaYqaoSCApSGTpUoV8/lT59VHx9NeWvKGotdUmC8nLNKqikBHJyRLKzBYqLtWPt768yfLjCiBEq559vbXET4jhC0NYKrMFgsB/HYcOGUVVVVS/a0NfX1y4qam/snSO2bBF49FGZCy44wLXXRuLrym7TjZCTk8O+ffuIj48nODi4u5fTIry8vOyOAoWFhWRkZBAQEGA/1o6Ck44eRXGEsxayq9XC7oyYq66u7nHnaGtwggh2EtraGnY0iZ44cWKHqI7bupaJE1UeeURi7lwTa9bYcOV+N3myyjPPSFxxhYnnnpMYOVJl7VqJRx4xcO+9BqZP1yqlzSmDvb1h+XIbmzeLXHyxB48+amPcuKYf7I7ZtUlJSe0u4RuNcNZZCmedZaWiAjZvNvD44yZycwWSkhTOOktrH3fUPUknsLGxsfRxJR+vE2CzwS+/aHF5Bw6ITJsm8+yzjua9Znu6iV5F0mejbDYbPj4+BAYGIklSm4QIdXWaJ+Add9gYNappwr11q4jJpJH2u+4yceutjQUFu3eLzJnTcjVeN4r29/dnxIgRrSawEREq8+dLzJ+v/X9RERw4oPn97d4tUlUFVVUCiqKdU0Yj+PlpxuEhIRAfrxlRBwfT6lEEXTymKEqHjRA4xt45zpwVFhaSlZVlj71ran7UFVRVweLFJkpKSrj//u2cfHJCp/ridQays7M5cOAAiYmJPa5dWFxczPbt2+2bZVVVqa6upqioyC4e8/b2tpP/zvYfbUpwoquQHauFsix32wa5urr6hH1MT4JOMrob27ZtIywsrFUDuLp6Kzg4mBEjRnTY7qe6uppffvmlzUknGRkC991n5N13bS63SvPzYcECI9OmKdx0kzZz98EHAm+9VcqKFTXExIS4pAwuK4P77jPj66ty//02GjrmSJJkr4okJiZ26kNFUSAlReQ//zHw118iYWEqJ50kM26cwrBhrc8WVlWV/fv3k5OTQ3x8fJvVtW1FTo7Ali3a/FlRkcDkyTLnnSe7rI7Ny8tjx44dDBw4EEEQKCwspKqqCn9/f3uVyZWbZ00NXHutmeuvl5g+vWnCb7PBrFkevPeeBYtF4O67Taxf3zht5NJLzaxZY212TlA3uXY1+cGdoM+Rms1m4uPju6RK4hh7V1hYiMVisVeRQkNDXdqwfv+9yHPPGbn44n0MG3aMpKSkDrXX6gocOnSIrKwskpKS2t2p6Wronp7Dhw9vcsNps9nsm7zi4mK72lyvFnal2tzRzFqf+x45ciS+vr5dbmY9depU7r33Xi699NIueb+uxgki2ElITU0lICDAZVPRY8eOsXPnToYMGWJ/sHYUdP++M844o82vu3u3wB13GFm92ka/fq79jKLAq68a+O03gZdeshEUJPPZZ9ksWxbCuefmMGuW6vKA+h9/iDzzjIlTTtFyhD09j1dPzWZzp8fFOUNeHmzdamDrVpE9e0QEQWXECJVx4xTGjJEJC2v6Z/X2f0VFBYmJiZ2+27TZYOdOgbQ0kW3bDOTkCPTrpzJ1qswpp8itmoVUVZXDhw9z8OBBRo0aVc/PsrXpJsXFWjv4X/+ytZgC8uKLRkJDVebOlbn7bhOXXiozdmz9n9Ej4j79tGmhid6Gb41nmrugtraW5OTkNlcxOwKOsXeFhYWUl5fbLYj0KpLjfSYvDx56yExIiMI552zDaKwjKSnJLS1smoKqqhw4cICcnBxGjx7d49qEeju4NZ6eutpcny2srKzEz8/PTgo7clSgOVRXV5OcnEx4eDgDBw6s51kIXWNmPWbMGJ577jnOOeecTnn97sYJIthJyMjIwNvbmyFDhjT7fXpb88iRI8THx3fK0LHVamXz5s1Mnz69XYkS+/cL3HKLkZUrbS5lBetIS4P77jPyr39ZmD5dpbZW4bHHFPbtk7jqqjT8/OrslYWQkJAm16iqmsL37beNzJ5dwcCBfxAe3r1xcY7QydZff2kVQ332KyxMZcgQheholehohX79LOzZkwZAQkJChz4Qa2vhwAGBAwdEMjMF9u8Xyc8XMJlUYmNVkpIUkpIUp0kdrkD3N8zPzycxMbGRQtURkiTZqwuFhYVA/XSTgwdNLFyoRcTFxze/nrQ0gWef1SqAO3cKLF9u4t13G1cD9+4VWL3ayLPPOvegy83NZdeuXd3ahm8r9Pzatkb1dRZ0CyL9SxCEv9vHIXz1VW+++srMkiW1yHIyoJ3zXb1paw90VXZubi6jR4/ucdNaHJYAAJ68SURBVKKBgoICtm/f3m5ls8ViqZeH7JiA0hlpRaCNb2zbto3evXsTHR1tP+e70sxaVVViY2N5//33mTJlSoe8prvhH0cEZVlul1q3o7Bz506MRiMxMTFNfo/NZiMjI8Pe1uysG4wsy3z33Xeceuqp7SYdhw7BzTebuPdeiVNPbfnU0Wc+qqtVHnjAg1694JFHbJjN2sP9oYfMXHxxBZMmHaGwsKBe6kVTLafs7HyWL69h9+5IHnrIwJQp7nsKqyoUFkJmpsj+/QK7dsmkp1egqmZ8ff0QBE2AEByszY15e2tRafqXyaT9vxZJJlBbq83T1dUJVFbyd2KFdnMUBBVPT4iK0ojnkCHaf0NDWz+D5gyO4oTExMRWDZU3TDfZssWX//0vmqVLSxgxIrDZ1yothcsv92DdOguBgVrF79VXrfTt2/i4v/22VjU8//zGm0HdKLqnDPg7Qrf6iIyMJCoqym1IYEPotiW//17J0qUhJCYe49JLS7Faa/Hy8iIpKanbBv7bAlVV2bNnD0VFRYwePbrHzTPq9jZxcXGENdeiaCV0qymdGOr2Ko55yO09R5sigc7W4ig+7Og8ZFVVGThwIJs2bWo2nasn4wQR7CTs2bMHRVGIjY11+u+6SbSXlxfx8fGdukPWI++mTJnSIYqw6mr417+MDByocv/9jRNEdDiqwfRd2hdfGFi50shzz1kZOlTFZoPnnzeyY4fI0qU2/P2rKSwspKCggPLycnr16kVYWJh93iwrK4usrCzi4uIwGEJZutRETo7A4sW2VlmGdAdKS0tJT0+nX79+DBkyxH5js9k0oUFhoUBdnYDVejyKzGIRsNk0UujhoeLlpaVWeHhoqtSwMLVL/OysVitpaWkIgtCuik5dHTz8sIm6OokFCw5TXl5AWVlZk+kmigLz5pn5178kRo9WWL3aQF2dwC23OL/Gr7jCzGuvWXEsVDr67CUmJva42S5dlNMZfm8djZoaeOYZE0eOCDz1lA1PzxIyMjLsg/96Tm5TowLuBFVV2bVrF6WlpYwePbpT1bSdgby8PHbt2kVcXFyn29voechFRUWUlpbavSlDQkIIDAxsNfnXSWB4eHirZ3g7ulqoqtoIU3p6OsOGDWvV79FTcIIIdhIyMzOpq6sjLi6u0b8VFRWRlpZG//79u6zF89///peTTjqpw6qOqgrvvivyzTcir70m4XifcfSJAuzzGzqOHhVYuNDMuedKzJsnIwhaS3XRIjOzZ0tccYX2d46qRb3lBDB06FD69u1rv5gPHRJ47DETfn4qt98uMXiw+53SeksyJiamUyOoOgO6utbPz69dIqbUVK0CfOutEmeffbxi17C16Jhu8vzzfYiJUbn6apkdOwQefdTEhg1Wp8Ici0Ujgh99dLxlrCgKO3fupLy8nKSkpB5X0dHPm7bmNXcl/vtfkRdeMLFwoY0zz1SoqakhOTmZoKAgYmNjkWXZnpNbWFiIqqp2shASEuJW7WJFUdixYwdVVVU9UtTi6HHoaiZ9R8HRVaCoqAibzVZPcNLSZ6mfN2FhYe0WcjW0p2lLtdBisRAaGkpOTg79XB2Q72H4xxFBRVGw2bo/o/LgwYNUVFSQkJBg/zt9yD4zM5PY2NguPam+//57xo4d2+xMV1uQkSFwzz1GlizRTKMd5f/QdLakLMMLL2iVwBdesBIYqPmsvfyykT//FFm27Hhygl6Nslqt+Pv7U1JSgqIodrKgz6ekpwu89pqJmhqYP1/i5JO7LyFEh6qqHDp0iMOHDzNq1Kge15IsLy8nNTWVvn37NtueaQ41NfDkkyby8wWeesrarIjGMd3klVd8qK1VufXWIry8wrjjjoGsWWNr8uc//9xAbq7ATTdpG0FJkkhPT8dms5GYmNhtOaVtRXZ2Nvv373f7VrZWkTfRt6/KAw9ovp/6PGNTqmzH2LuioqJ6anM9+aK72t+KopCRkUFtbS2jR4/uUaIW0ISHe/bscYvzRlVVqqqq7Js8XVjkWBV2PM61tbV2x42OVvM7M7N2pVpYUlLCwIEDKSsr63HdBFdxggh2Eg4fPmyfK4HjlYmioiISExMJcMWhuQPxww8/kJCQ0Cm+VxUVcNttRhITFRYssKEoskvWMADJySKLF5u44gqJOXO0NvO+fQL33WfmjDNkLr20jJ070+pVoxznzQoKCqirq6s3V1hS4sFbb5nYtk3kssskLr5YbjKlojOhx5aVlpaSkJDQ45SGBQUF7NixgyFDhrQph1RRtFziNWuM9iqRq3juOSPl5XDPPWXk5xfyr3+FMGNGJuPH2+zHuVevXvXOsXnzzDz3nJXQ0OMWKyaTifj4+E4ZZO8sOCpU3bmVXVcHK1YY+esvkUcftREbqz1K9M1DRESEy+boutq8qKiIkpKSbou9k2XZvnlISkpyqyqlKzh69Ch79+4lISGhy+2oXIHNZrNXhYuKigDs1UIfHx/S09MJDQ3tkk6Zoz1Nc9XCI0eOMGLECGw2W4+6j7QGJ4hgJyEnJ4djx44xbty4eibRiYmJ3dJm+OmnnxgxYkSn7RAVReXVVwV+/11kxQorgYGuX8RWK7z1lpHvvjPwwAM2xo9XUBR444061q5VuOyyGm69NRiDwflrVldX17Oy8PPz+3umMJQvv/Tnk0+MTJsmc+21kkum2B0B3fBXkiQSEhJ6XGvpyJEjZGZmMmLEiFYrDVUVfvhB5KWXTJx2msxNN0kuE3FF0WYIvbzggQe06/j2201MnKhw8cW19rZicXExJpPJTgpttiDuvtuDdeus7TaK7k7o4oTCwkKSkpLcUqGqqvD11wZefdXIjTdKnH++bK+8l5SUkJaW1ubNAzRuLeqxd3q1sLMqdJIkkZaWhqqqJCYm9riHvp520lOMrvUNfVFREQUFBVRXV2M2m4mIiHC60etMNDSzdkziyszM5NRTT6WqqqpH3Utag38cEVRVFau1sa1EVyMvL49Dhw4RGxvbKSbRrcUvv/zC0KFDO1Q5psNxBiM52ciSJWaeespKYmLrTq2iIq2FWFUlMH/+YSordzFo0HC+/XYA33xj4JZbJM46S2623Wu1Wu2VwuOVhTB27uzPhx8G0Lu3ypVXaskgnXWPqa2tJTU1FS8vL+Li4nrUA0U3uT569CgJCQmtqlyrKmzeLPLKKyYSExVuu83WKP6tOdTUwIIFZk46SeG66yRUFRYtMjF4sJbg4QhZliktLbVvAN59dxCTJ2tehNnZ2fTr16/Nrezugj6XVllZSVJSkluKE/buFViyxERcnMq//mXDceRSF7XExMR02NiL3lrUj7Ojl11HkgWbzUZqaioGg4GEhIQepWwGbeO2f//+buk2tRd6OzgoKAh/f397VVhPsgkJCSEoKKhL76OO1cJFixbx1ltvUVNT0+PGS1zFCSLYSSgoKLCHuHeGSXRr8fvvvxMVFdWhA+f6jIXu26iLQkpKtAf61KkK118vtYpwqarKN99k89xzQUya5MWiRUa8vbVoqtdeM/LbbwaXzIcB+3C6o49dRUUEP/44gD17fBg3TmX2bMne0uoIlJeXk5aW5nZeb67AUVjRGpNriwU+/NDAxo1GJkxQuOWW1hFA0AQ/CxaYuftuG1OnKqiqFkUWFKRy553Ni7+qqlRmzzaydGk6eXm5AAQEBLQq3aS7oc8zSpJEYmKi282lVVTA00+bOHZM4LHHbERG1r9mdFFLe73qWkJDLzuj0WivFLY19s5qtZKSkoKHhwejRo3qcSTQMfKuJ5LA5ORkgoODGTZsWD2fQD3JpqioiNraWgIDA+3HuitEX6qq8vrrr/P444/z+eefM3Xq1E5/z+7CCSLYSWtIT08nLy+P0aNHd7p03xX8+eef9O/fv0N36o6ikIbKYEXRbGH27NHEIK6Mx+lxcbW1tcTHJ7Bliy+vvGLk6qslLrlEqwSWlMALL5jYt0/g3ns1SxFX16uLELS5QgvHjkXy668DOHrUhylTVGbPlhk4sO2XQ35+vj0dpq1tse6C3sqWZZmEhASXdr779gmsWWMkLU1k9myJSy+VaUsHfONGA+vXG1mxwkpkpIrVCgsXmklKUhpVAp3hqaeMREQU07fvNmJjYwkMDKw3b+bp6dlsukl3w2q1kpqaitFodLt5RlmG9983sGGDkbvvtnHqqY2vN32MoKsVqjpZ0I+1HnunkwVXxjEsFgvJycn4+PgQFxfndudGS8jKyuLQoUM9MvKurq6Obdu2NSKBzqDnIev2NF5eXvXsaTr6uKmqyqpVq1i8eDFff/01kydP7tDXdzf844ggaBd3d0Hf2VdWViLLMqeddlq3rcURbck+bgr6DIUstywK+eUXkSefNHH99RIXXth0W7e2tpa0tLRGcXEWC7zxhpEtWww8+KCNMWO0B1FuLixbZqK4WOD++20MH+76aaxnV+qVwtLSSg4eHMDvvw+grMybM88UOOssmago117TMXJt5MiRndJ+70w4trJbqogUFsIXXxj5+msD/fsrzJvX9jZ7QQHcf7+ZqCiVRYtsGI1aRvVNN3lw/fUSM2e2nBB07JjA/PkSd975IwkJjVWSTaWb6F/dTbr0z94dicj332t2MOedJ3PNNRLOdBN69m5nCdFchX5N6zOkugep3kJ29KbUUVdXZ4/ri42NdavP3hXobgRJSUkd7gbR2dBJYFBQEMOHD29V50S/pnViqM+Q6gkn7Z3HVlWVtWvXcs899/Dll1/+oyuBOk4QwQ6Eo0n0kCFD+Ouvv5gxY0a3rKUhUlNTCQwMbHe2qqODu6vKYIvluLrw8ccbGz/r7dSwsDBiYmKc3pALCuCJJ0xUVgrcfrvNPn946JDAsmUmysth3jyJGTOUJg2um16fxU4U8vPL2LGjHzt29KewsBdRUQZOPVVhyhTZqdBEURT27t1LQUEBCQkJPW5XXllZSWpqql2p5+yzz8kR+M9/DGzaJOLjA+edJ3PmmTJt7c4oCqxbZ+DDD4088YSVhATtWG7ZIvLssyaee87qUrteUVQuvtjKuefu5KKLhrT4MGyYbqKnIejVwq6eyauqqiIlJYWQkJBWPww7Ezt3CjzxhImhQ1XuvNOGs1PacZbUHYmI1Wq1j4UUFxcjimK9ODSr1WpvSbrTZ+8qDh48SHZ2do/MPW4PCWwIxxnSoqIiKioq7BsAZ7nXrrzeBx98wB133MFnn33G9OnT27y2noR/JBG0Wq109a9VVFRkT40YOnQoFouFH3/8kTPOOMMtbjLp6en06tWLwYMHt/k1nCWFtAaHD2t+YwMHqtx3n+Y3prvfDxkyhIiIiBZfMytL4JVXjBw+LHD99RKnn65VowoKYM0aI5s3Gzj9dJkrr2ybQliSJPsDRFOzebN/fyQ7doRRXe1BXJzKtGkyJ52kYDJJZGRkUFdX1+rINXdAcXExGRkZDBw4sN4Ma3U1/PGHyP/+Z2DnTpF+/VTOOENmxgy53Skmf/wh8tRTJs46S2b+fAmjUbMhefJJrbq7bJnVpfdQFIVnn83n6FGFpUsD2zQzpKchaFXh0ibTTToDusVK//79GTx4sFvcI3Jz4cknzdhs8NBDx308G8JR2Tx69Gi3n8F0FocG2hzp8OHD3X79jlBVlYMHD3LkyJH/9yTQGfQNgGPuteMGoCU7oI8//pibb76Zjz76iLPPPrtD1+bOOEEE24mmTKKtViubN29mxowZbjF8vGPHDjw8PIiOjm71zzYlCmkr/vMfzVrkgguOMmRIBqNGtT4CqaREy5X98UcDc+Zo82lmszbTtGmTgbVrDQQEaMbSSUmu+9c5wtHcuLCwkNpaC2VlEezZ05+MjF4UFVUREiIxZYo/o0cLxMUpuKHbh1McO3aM3bt3M3x4LKral7/+EvntN5HMTBEvL5Vx4xRmzJCJjVU7RF2dnq5Vbnv3Vrn/fhv6KNmvv2qjA7fe6lorGDSy/sUX+3jllYF8/bURL6/2Cyt0fzN9A6BXkHTD8o68houLi0lPT3ebWdLqanjpJSMpKQYefLB5tb/ujVlWVtYjY9cqKytJTk62E6jS0lK8vb3tc4XuOEOqQ/eXPHr0KKNHj3ZLa6HmoLfiAwICiI2N7RKfQN2epqioiOrqavz9/e3XdUPT8s8//5zrr7+e9evXc/7553fq2twNJ4hgO9CcSbQsy3z33XeceuqpbqEA3LVrF6IotjorsSVRSFsgyzKpqbt5++1AiooieOYZlSFD2na86upgwwYDH31k5LTTNK9A/TAcOCDw9ttGdu3SxAwXXSTT1ueWYwsiLy/P7nnl7R1FXl4f9uzxYvt2kaoqAT8/lVGjFAYPVomMVBg4UKW7xXyqCsXFcPCgwC+/FLNtm5Xq6j4YDGb69lUZM0Zm4kSFoUM7hvjp2LpV5JVXjPj5wX33Ha8y5eZqNiS+viqLF9tc/nwsFgubN+/gqafi2LDBQL9+Hb/JargBcBQhhIaGtstCIj8/nx07dhAbG0ufPn06cNWth8UCq1cb+eorA7fe2rI1kyzLdjFXUlJSj7PS0KuwAwYMYNCgQYC2AXD0LATsnoWuVJC6Cnor/tixY4wZM6ZHVTGh60lgU2vQOwAlJSUsXbqU8PBwzj77bMxmMzfeeCPvvfceF198cZevrbvxjySCNputniFkZ0BPLlAUxWkWpaqqbNq0iSlTprjFrnnv3r3IskxsbKzLP9OWecCWoMfFAcTHx3PsmCeLF5uIjla55x5bu+bO/vMfA6tWGYmOVrjtNon+/bVTu6YGPvrIwL//bSQyUuH882VOOUVxOvzeEnSvtIiICDw9Pe03Fb2qEBYWhqL4sXOngYMHBQ4fFjl0SKCiQvvsPDxUBgxQ6ddPJShI+woMhMBA9e8vcFW/oKpgs0FtLVRUCBQWChQUQEGB/meBnByBujoBQYCgIIVevQoIDi5g5swI4uK8nWb2thc2m2Y4vGaNkZgYhVtvPX4sysrgxRdN7NwpsHixjVGjXL/9VFdX89tvGTzzzGhWrDAzYkTHr70hHIVFekSWr69vk+kmzUFX18bFtb4C3pGQJPjgAwMffGDkyis1RX5L54EugpNlmcTERLchSK6irKyM1NRUBg0aRGRkpNPvcTQ4LiwspLq6moCAAHsFydvbu1sIjKqq7Nu3j/z8/B7Rim8Ii8XCtm3bupUENoQsy3z++ed89dVXbNmyhaKiIkaOHMn8+fOZOXNmu2fpexpOEME2QN9ZBgYGMnLkyCbbRt999x0TJ050ixJ+ZmYmdXV1xMXFufT9nUECq6qqSE1NtSc+OH5u33xj4OWXjdxyi8Q55zRfmWgJf/0l8tprRurq4IILZM455/hs24EDAp99ZuDnnw307q1y/vkSp56q4EpxQ3+Qx8bG1vNjlCTJ/vDQ24o6UWjobVZbC9nZAkePCpSVCZSWar6LpaXan8vLNSKl//4tXZ1mM3h6gp+fSliYSmgohIaq9q/+/VW8vLQ1ZmRkYLFYOi3dJitLs5PZulVk5kyZyy47Xp0tKdHSY377zcDChZoNSWuOcXl5OT/9tJ0VKybwyCMmJk3qntuW1Wp1mm6i+9g5ays65k13p9ebqsJnnxlYudLIrFkyV13lWuKLo9myu9nbuAI97SQ6OpqIiAiXf662ttbeVtTN6fVj3VWxd6qqsnfvXvs8Zlf453UkdBKo3/PdgQQ6YsuWLcyePZvFixdjNBr55ptv+Pnnn4mOjmbmzJlcfvnlJCYmdvcyOx0niGArkZuby44dOxg8eDBRUVHNntibN29m9OjRbqEkPXjwIBUVFSQkJLT4ve0VhThDUVGRvZLW1HB8bS288IKRrVsN3HBDy62qllBWBp9/buCrr7R5wUsukZg2TbFX3I4cEfj8cwM//GDA31/l/PM1QUTDe62qqmRmZnLs2LEW0zYcvc0KCwux2Wz2VlNoaGi3VFIcc3cdrXk6AkVF8O9/G/n2W41Yz50rMWnScZKXlSXw5ptGMjNFbrjBxowZrbeaKSoq4scf9/Daa5NYvlxsdWJNZ6FhuomzKDT9QZ6fn09SUlK3DPerKnz3ncjLL5uYNk2L/HOVT1gsFrsTQlxcnFvMO7cGRUVFZGRkMGzYMPr27dvm13GMvSssLESW5U6PvdNFOUVFRYwZM8YtOkutge7RqOfEuxsJ/OWXX7jooot44YUXuO666+zrKy8v53//+x9ff/01EyZM4IYbbujmlXY+/pFEUJIku7Cho6CTgezsbEaNGuWSV9yPP/5IXFycW4R/Hz58mOLiYpKSkpr8no4Wheg4cuQI+/btc3kuqrwcVq7UvAPnzdP8B9tbhMjJEfjwQwNbthiIiVG47DKZxMTjpCQ3F776ysh334l4eMCkSQqTJ8vExEjs2rWDqqoqEhMTW7Uj1+cKCwoKKCwspKqqyp54ERYW1iU3dt3SKDAwsMO80g4fFvjqK41Ae3urzJql2cnov44sax50771nxMdHE+yMHdu2jdmxY8f49NNcPv10NK+8IjBsmHverlRVpbKy0k4Uqqqq8PPzQ1EUrFYrY8aM6fJqjqrC//4n8uqrJsaMUViwwLkVTFPQUx/0lp67iiiaQkFBAdu3b2fEiBEdnqikH+uioiJ77J1OCjsi9k5VVXbv3k1JSUmPFOW4Own8448/mDVrFk899RS33HKL262vq3GCCLr4eunp6VRXV7cqCP6XX34hJibGLZJFjhw5Ql5eHmPHjnX677pJtF5J7QgSqCgK+/btIy8vr9W5taDN9r33npEvvzRwySUSl10mu9TCbQnbtwts3KglYkyeLHP22TJxccdFEmVl8PvvIj/+CH/+WY2np8IZZ/RiyhQYNUpt81xdbW2tg4l159uVlJaWkpaW1mwV1hVUVGjq3s2bDezdKxIRoXLOORJTpyr1xDd79gi8/76RlBSRadNk5s2TaKu3tqqqZGUd5qWXVPLzB/LGG0KrSEx3o6amhrS0NOrq6lAUxZ6EEBoaSkBAQKeSKr0C+NprJsaNk7nlFqnVYqXq6mqSk5MJDQ1tMfXBHaFH3sXFxXW6wbsee6fPC5tMpnoZua2toqqqyq5duygtLWXMmDGdMsbRmdBJoK+vLyNHjnS7cyc5OZlzzz2XRx55hIULF7rd+roDJ4hgC6iuriY1NRUPDw8SEhJa1VbrjHzftuLYsWMcOXKE8ePHN/o3x3lAQRA65CGlz6R1hMee1aopgzdsMHL22VrKQUfMSyuKRnA2bTKwY4dIaKjKqafKnHqqjI+PNs8YEBDAgAEj2LrVyC+/GNi+XcTDQ2XsWIWEBIURIxTaEq1qs9nqzZoZDIZ6c4XtPQa6OjUmJob+/fu7/HOqqlVPt24V2bpVZN8+ER8flcmTFaZOlYmJUevNL+7apbXX//jDwODBCnPntj1p5PgaVH788RBPPRXC9One3HOPsUOVzJ0NfaZOEAQSEhIQRbGeNY2iKPWsaTqqVa+q8N//agRwwgSZm29uPQEEqKioICUlxa08DluDo0ePsnfvXuLjGyfNdDb0cQH92rZarfbUC1di71RVted9jx49useRQKvVyrZt29yWBKanpzNz5kzuv/9+7rnnHrdbX3fhBBFsBrpJdN++fZtMXWgOW7dupV+/fh2W79se5OXlcfDgQU466aR6f98ZohA9Ls7Dw4O4uLgOe9DJsjbz9847RiZPlrnxxrY96JpCXh5s3mzgP/+ROHSomlGj4OKLfTnpJLVeJbKmRhOkZGSI7NwpUlAgIIowaJBGDEeOVBk+XHF5DkufK9RbyJIk2YlCSEhIqz+/w4cPc+DAgRbVqRYL7N0rsHOnyK5dIpmZAhaLQESEwtixCuPHKwwZotZLaqmuhp9/1sym9+4VGT5cU2FPmKB0iALZalVYsqSIP/7w4cUXjcTH9yyLkrq6Ontcn7OZOsd0E93brL3pJooCX3xhYPVqIxMntp0AwvEqclRUVI9UTmZnZ7N//34SEhK6fSTHmeK8V69e9uu6YRdAtyOrrKxk9OjRPc6eR09r8fHxYeTIkW43SrBjxw7OPvtsFi5cyEMPPXSCBDrgH0kEZVlGkloOq28KjibRw4cPb1VFxRF6a8UdTGMLCwvZu3dvvfDsziCBZWVlpKenNxsX116oKmzaJPLmmyaGDVO46iqpw2bHdKPloUOHUVLSn++/N/DHH9rvMHKkSlKSQlKSQp8+9f32ZFnz6Nu5UyOHu3cL1NZq3xAQoBIRoSl4+/dX/v6vir8/jSpd+vyRTgpbQxR0mwm9FW80+tutZI4cEcjK0r5yc0VUFUwmlaFDVUaM0Ajs0KFqIxVpVZXmBfjbbwZSU0VMJpWTT9bMpqOjO85zUJtnU3niCSvTpuWxaFEfPDy633+zNdDnMfXUBFfO/abSTVyJx3KslJ95puah2R6DAl1YMXTo0Dbf87oTWVlZHDp0qFuV2c2hqdg7fVxgz549VFdXM3r0aLfwnm0N3J0E7t69m7PPPpsbbriBxx577AQJbIATRLABdOf8goICEhMT2xWknpaWhr+/P1FRUW1+jY5CSUkJ27dvZ8qUKXZRSEcrg/W5nOjo6C4hv6oKycki779v4OBBkXPOkbn4Yom2HDLdtf/IkSPEx8c3qiZYLFobNCVFI0RHjwp4eKjExakkJiokJso408GoqjZzmJOjWcYcOSKSk6P5+5WXCwiC6vC9Al5eKn5+mh2M2QyKYqO2toaammqs1lo8PMz06uWN0dgLSfKgpgZqagSqq1VKSyuRJBk/P38MBgM+PpqFTFiY5lsYFaUycKBK796q0zxm/XdMSxNJSxPJzhbx9tba4CedpLXCO+P59MsvIs89JxIaeozLL89j8uTYHmdRUlFRQWpqKn369CE6OrpN15Or6SbV1drs7FdfGZg9W+Lyy9s/O+tORtethWPsmjvmHjuDY+ydnnttMBjso0Q9SRzi7iQwMzOTM888kyuvvJJnnnnG7dbnDjhBBB3Qkkl0a7F9+3a8vLwYMmRIu16nI1BWVkZKSgrTpk3rcFGIfiPOzs4mLi6OED0/rAtRV6d5EX70kQEPD7jsMonTTlNcUhvrLZmysjISExNdFgPV1cGOHSIpKSKpqSJ5eZpxc2ioyuDBClFRKoMHq0RFKS6RU1XVXrO8XDOIttm0tp/+JUkSJSXlFBeXUltbgo+PSL9+AfTu7UtBQRYmEyQkJLRYTSgvh/37RfbtE8jMFNm/X6CyUsBsVhkxQiUhQSN9EREdmzLS8Hf95ReRl182MnCglVNO+YOBA3v1SHVqSUkJ6enpHdpOdZZuAuF8++1g9uzx4+qrFWbNatkI2hXoM3XdbXTdFjgmbvTE2DVFUcjIyKCmpobevXtTWlpaL/YuNDS0xcpwd0Ingd7e3sTFxbndtXvw4EHOOussLrroIp5//nm3W5+74B9JBBVFwWaztepnXDWJbg127dqFwWAgJiam3a/VXlRWVvLnn38ydepUe1xcR1wUsizbs0dbQ6I6E7m5sGGDke+/NxAfr3DFFRLDhzs/zW02G2lpaSiKQkJCQrvnclQVCgvh0CGRAwcEDh0SOXhQM48GMJtVgoIgJEQlJEQlOFj7b2ioSnAweHureHqCh4eWMNLU/V9RFEpKSjh69BjHjhVSW2vCw6M3RmMoqhpAZaWRsjItXeToUYHCQq3iCODrq0X6RUcrf3+pXZaRXFsLn3xiYONGI6NHK8ydW8LRo8n069ePIUOGuO0DrykUFBTYRTmdNQu8eze89JJAbq6NmTMPEhWVjZ+fLyEhIYSFhbXLrsSdZupaC0ez5aSkpB6XuCHLMhkZGVitVpKSkuyzwM5i73SxiTvF3rk7CTx8+DBnnnkmM2fO5JVXXnG79bkTThBBWmcS3Rq0Jdats1BVVcWvv/5qb3d3xEVhsVhIT08HtLg4dxtuVlVITRVZt87AgQMiZ56pWcVERurRczWkpqbSq1evDiP/LcFm00yYi4sFioq0r+N/1tq8dXXa/FfDorZO5PR2ss0mUVFRjo+PmZAQD8zmagyGCjw8qgkP96B/fx+GDPFl0CATISE4bQd3FbZvF3jvPc1YetYsLdaspkabSRsyZIhbzNG2FnolbeTIkR1uUaIomgfgu+8aCQyE226z2TczztJN9Bayq4pzx3ZqYmKiW5jetwaOFis90WdPlmXS09ORJKnZyD5n4iLdizQkJKTbyK/NZiM5OdkuinI3knXs2DFOP/10TjvtNN588023W5+74f81EWyLSXRrsH//fmpqahg1alSHvm5roaoqVquVzMxM8vPzAeymxm3xuYLm4+LcERYL/Pe/BjZtMnD4sEB0dC2RkTuZPt2T2NieV4nSM48HDx7cKDu1pqaGwsJCCgoK7ErFsLCwVmfjthdZWQIffWTgp58MDBumMG+eRFycdrvRRTkdbfbbVdCFCc7mSduD8nJYt87I118bmDZN5uqrJZrr1uqVYZ0oOCbZNJV44Sgq6qnt1J07d1JRUdEjLVZkWSYtLQ1ZlklKSmrVPKwee6d7FnalP6UOdyeBeXl5nHnmmUycOJHVq1e7/bPJHfCPJII68WkOus9dVVVVq0yiW4NDhw5RXl7uUqxbZ8CZKETfYRYUFFBQUIDNZmu1VYkeFzdgwAAGDRrU40hUbm4e3357hKysWHbuDMLLS+W002ROP12hXz/3vxxycnLYt28fI0aMILwFE0PH6lFRUZE9L7UzHhyqqlX+vvpK8xXs31/l4oslpkw5bi2jGUVnkZWV1eEkqiugbx5zc3NJTEzsMGHC7t0Cb71l5MgRkSuu0PK2W6uX0ZNs9LnCyspK/P397cdbTzbZtWuXPbGip2XXKorC9u3bqampISkpye26EC1BlmVSU1NRVZXExMR2iaK0meES+/WtKEo9z8LOUB7rJNDT05NRo0a5HQksKCjg7LPPJj4+nrVr1/Y40Vl34f8lEaypqSElJQUPDw/i4+M7TaqfnZ1tDwvvariSFOIYgVZQUEB1dTVBQUH2B4eznXZ2djaZmZk9Vl2oV3IcB+PLyjT/wP/+18CxYwLx8QqnnCIzZoxrIo+ugqOyOSEhodWK9oZ5qYqi2I91cHBwm26ahYXwww8Gvv/eQG6uwIgRCueeKzN+fGNfQXfI3W0PFEWxx351xEyaLMO33xpYs8ZAeLjKDTccr5h2BOrq6upVj3TSpKpqj8yu1dupNput3kxdT4EkSXaj8cTExA6tVDUVcdiRsXfuTgKLi4uZOXMm0dHRbNiwocedH92J/3dEsLi4mLS0tDabRLcGR48eJScnx2maR2dC9wdsrSikYUtRv5HoubjtiYvrbiiKYg9wT0xMbJKEKAqkpwv8+quBbdtEyssFgoM1C5WxYxVGjuwcC5WWoNsalZaWdogox3H2SLevCAoKsreQnVVa9NSRX38V+e03kcOHRYKDVaZNkzntNIW+fZu+lSiKwo4dO6isrCQpKalHkpDt27dTW1tLYmJiu9qRR48KrFlj4OefDZx+uhbF19mFUavVSkpKCnV1dYB2/Dsj3aSzIEkSaWlpqKra6oQnd4BOAkVRJCEhodPblfomoKioiOLiYsxms/14BwYGtvr9bTYbKSkpmM1m4uPj3Y4ElpaWcu6559K/f38+/vjjHufD2N34RxJB4G+7heNQVZXs7Gz27dvXLpPo1qCpNI/OhF4JlGW5Xf6AVqvVTgp181NRFImNjSU0NLRHtYNtNptdndeWh3hBgeZX+NdfBnbsEJAkgcGDjxPDQYM0pW9nQV+/zWYjMTGxU9phegJCYWHh33OFvihKP44eDWP3bm927RKxWAT691eYOFFh0iSFAQNcs5ex2Wykp6cjyzKJiYk97iatK8v1dl5bSIgkwX/+Y2D9egOenjBvnsQppyhdIuDR1w/8bTRupKKiwn68OyLdpDOhR/YZDIYuIVEdDX39RqOR+Pj4Ll+/Hnunj4c4xt41telzhLuTwPLycs4//3yCg4P59NNPe9zMqDvg/wUR7EiT6NagsLCQPXv2cPLJJ3fJ+3VWXFxKSgqiKOLj42PPxdUrRx2lQO4sOMbdjRo1qkNmRhQF9u8X+Osvkd27NXsYi0VAFFUiI1Wio1WGDNFsWfr3d27e7Cr0yLKOXL8jKivh8GGBw4c1X8E9e0Ty81VsNiv+/pX061fA8OE1jB3rSf/+2lxha84ri8VSbwyjpz3EdW9R/SHY2vUfOiTw7rtGtm3TVOuXXSbRlTabeiWwufXX1tbaSaGebqKThO72sNPXr5//Pe38cSRR7rB+fRxIHxmoqKiwx96Fhobi6+tb73i7OwmsrKxk1qxZeHt78+WXX7rdJqan4B9LBK1WK6qqYrFY7AqtxMTELj1RSkpKyMjIYOrUqZ3+Xvo8YEfHxaWlpdG7d2+GDh2KKIr1VIoFBQX2ObOwsLB66QfuAD3toTPj7hwhSZCdLZCZKbB/v5bdm5OjxbkJAvj4aCkf4eHH/6t9Qa9eKt7e1Jurq6ysJDU1leDgYJcjy0Cznqms1EypCwuFv2PmoKBA+3N+vhZ/p68pMlInsArDhyv1VKqyLNvTLgoLCwHs/nUtHW89ci0wMLBHGkXX1taSnJxsV8a7uv6KCvj0UwNffmkkNFTlqqskxo9XOs2cuynU1dWRkpJit0dyZf2uppt0BfRNhLv61LUEncS660wdHBeT6S1kURTrRRymp6djMpnckgRWV1dz0UUXIQgCX3/9dY9Tv7sT/tFEsLy8nJSUFAICApwGwHc2ysvL2bZtG6eddlqnvYeuDJZlGeiYpBA4Hhc3dOhQIiIimnxvfc6soKCAuro6goODCQsL6zTVmqvQjX4HDRpEZGSkW7Syq6qwE7H8/OOkrKAAKisFamtBlrV12mxWKioq8Pb2wsvLu0kSoarHY+p0n0GzWTOI9vPTCKcWM4f9z+HhKm3ZD6mqWi/toq6urp64yLHFpBu091Sj6MrKSlJSUggPDycmJqbF9UsSfP+9yMaNRqqrYdYsmXPPlekuj+OamhqSk5Ptm4i2fP7O0k304x0SEtKpLbi6ujqSk5Px8/NrFQl3F7i72bIzNDzetbW1mEwmoqKi7HPi7oLa2lpmz56NxWLhP//5T5cIz15//XVef/11srKyABgxYgQPP/wwZ511FqCds3fddRcbNmzAYrFwxhln8Nprr7Xo7OAO+McSwcOHD7N9+3YGDRrUbRYnVVVV/Pbbb5x++umd8vptFYW09JptiYtTVdU+Z1ZQUEBlZSUBAQH2FnJX3kT0tARX7FXcEToJHz58OH379u3u5TiF4/HWW0y6uMhoNJKZmdljjaLLyspITU0lMjKyWYN5VYWMDIH1643s2iVy2mkyl14q06dP995SdRLbntzjhlBV1S4mOz5H2nRLsT3QK7FBQUFtJrHdCXfP3m0JkiSRkpKCIAiEhIRQXFxMWVmZ24wM1NXVcdlll1FWVsZ///vfLjND//LLLzEYDERHR6OqKu+99x7Lli0jNTWVESNGcPPNN/P111/z7rvv4u/vz2233YYoivz6669dsr724B9JBFVV5ffffyciIqLDTaJbg9raWn788UfOOOOMDr9oOkoU4ghZltm5cyfl5eXtVqbW1dVRUFBgnzvSTY3DwsLw8fHplJuIbk+Sl5fXY9MSdI+9UaNGERwc3N1LchkWi4XCwkKOHDlCVVUVZrOZPn36EBYW1u1zZq2BbtQdHR3dZCU8N1dg40bNMic2VuHyyyVGjeq8XObWQO+CtERi24uG6SZGo9FOCl1NN3GG6upqkpOT7eMcPeW80WGxWEhOTm5VO96doJPAhsIWfWRAbyND98TeWa1WrrjiCo4dO8b//ve/bvchDQoKYtmyZVx88cWEhoayfv16Lr74YgD27NnD8OHD+f3335kwYUK3rrMl/COJIByfEezuNWzevJnp06d36JB/Z4hCHOPiEhISOrSta7PZ7JUE3dRYJ4UdRRJ0e4+ampounwXtCCiKwt69eykoKOiRHnuOJHbkyJEoimI/3nploTvmzFoDvRLrLO2krg6+/trAxx9rqt9LL5WYPl1ptelzZ6KkpIS0tLQur8QqimJXpRYWFrqUbuIMVVVVJCcn07dv3x45TqC3s/39/XvkTKyrFjfOrKcCAwPtxLCzYu9sNhtXX301Bw4cYPPmzS53qzoDsizz0UcfcdVVV5GamkpeXh6nnXYapaWl9azVIiMjueOOO/jXv/7VbWt1BW50G+tYCILQ7URQJ3+yLHcYEewMUUhlZSVpaWkEBAQQGxvb4Q9qk8lE37596du3bz3xQVpaGoIg1Iu7a8vNU1d2Go1Gxo4d2+M8xvTw+draWsaNG9fjSKyjUfSYMWPsJDY8PLze3NG+ffuwWCx2khAaGuo2VjL6OEFCQoK9EqtnVa9da+DQIZGZM2Vee83qVibjOvSZ2GHDhnX5OIEoigQHBxMcHExMTIw93eTIkSPs2rULf39/+0agqW5ARUUFKSkpDBgwoFMrmZ0FnQTq99Cetv7W+BwKgkBAQAABAQFER0fbVedFRUVkZmZ2SuydJEnccMMN7N27ly1btnQbCdy+fTsTJ06krq6OXr168emnnxIbG0taWhpms7mRv254eDh5eXndstbW4B9NBLsbunBDF3K0Bw1FIR1FAvVWWGRkZJfMUurWM2FhYXaSUFBQwO7du+1xd7rYxBXyrGce91Rlqq5qNxgMPZbE7tixg6qqKqckVhRFgoKCCAoKYujQoVRXV1NQUEBOTg67d++uF4HWWZWE5qCnteTk5DB69Gj8/f1RFNi0SeStt0zExCjMny8RG+u+jRO9kjly5Mhun4kVBAFfX198fX0ZNGhQvXSTgwcPOo041Gcyo6KiGDhwYLeuvy3o6TON7TW79vLyYsCAAQwYMMAee6c/V/TYO70b0JaNnyzL3HLLLaSlpbFly5ZuHfeKiYkhLS2N8vJyPv74Y6666ip+/PHHbltPR+Ef2xqWJKlDCFh78d133zFhwoR2tfoaikI6QhmsqipHjhxh//79xMbGNmqFdTX0iCR9rlCPu2su6aK4uJiMjIxOn4fqLFRXV5OamtpqexJ3gW4UrShKm8YJ6urq7O2lkpISvL297SShK+YKVVVl9+7dFBUV2fPGU1JEHnnExMkny8yfL+HuATpHjhwhMzOT+Ph4t58p1bsBjtm4vr6+lJWVMWTIkB5LArdt20ZISAjDhg3rcfcgWZbtPrEdbdatqioVFRX2411VVeVSddgRiqKwYMECfv75Z3744Ycm53a7C9OnT2fw4MFceumlJ1rDJ9A0jEZjuwhpZ8wDNpxHc4e4OEEQ8PPzw8/PjyFDhlBTU0NBQQHHjh1jz549+Pn52SuJ3t7e5OTksHfv3h6ZeQzHPRp7qr2KbnTt6enZ5txUT09PIiIiiIiIQJIkiouLKSgosFcnHMUHHT2uoCgK27dvp7q6mnHjxtmtUMrKYNUqSz0vRXfFoUOHyMrKcptruCU4dgP0pKfMzEzMZjP79++nuLjYPlfo7e3d3cttEbpFT2hoaI8UtsiybM8+7ozEFkEQ8Pf3x9/fn8GDBzeqDpvNZvvxdhZ7pygKd911Fz/88ANbtmxxOxII2hotFgujR4/GZDLx/fffc9FFFwGwd+9esrOzmThxYjevsmX8YyuCsiwjSVJ3L4OffvqJESNGtGm33hkk0GazsX37diwWCwkJCT1iHk1XpBYUFFBSUoLRaESSJIYNG0a/fv163A1Yn+dqTpnqztCNovVWWEdXMh1HBtojPmgKkiSRnp6OJEk9MvJOVVX279/PsWPHeqSwCLRrYPv27faNXMN0k66uDrcWuro5PDycoUOHut36WoJOAoE2b+Ta+/4lJSV2FbLNZuPYsWMUFxcza9Ys+vfvz6JFi/jss8/44YcfGDJkSJeuzxkWLVrEWWedxYABA6isrGT9+vU8++yzbNq0iRkzZnDzzTfzzTff8O677+Ln58eCBQsA+O2337p55S3jBBHsZPz6669ER0e3eq6hM0QhNTU1pKWl4eXlRVxcXIfHlXU2dGVwWVkZfn5+lJWVYTKZ7GKTjhpM7kzoooSRI0d266xLW6FXMvv378/gwYO7pH1bVVVlJ4VVVVUEBATYj3lrNzJWq7Ve7mtPuwZUVWXPnj32dnZ3zFW2F3l5eezcuZO4uDin14BeHdaJoS4ocxfVeXV1Ndu2betQn8auhCzLpKWloSgKSUlJ3f556tf4J598wmuvvcbu3buJjIyksLCQ9957j1mzZrnFZ3zdddfx/fffk5ubi7+/P6NGjeK+++5jxowZwHFD6Q8++KCeoXR3j125ghNEsJPx+++/M3DgQJfbl52VFFJaWkp6err95uXuhKkhrFYraWlpwHF7Gz3uTicJqqq6HH/W1VBVlczMTI4dO0ZCQkKPaOU1hD4A3p1G0fpcYUFBgT0XVycJfn5+zV4rem62r69vj/R4UxSFnTt3UlFRQVJSUo+o5jeEPuoxatQol5SfiqLUsyrR02z0ObPOTDdxBt3ipl+/fl2yEepoOJLAxMREt9sIqarKww8/zFdffcXAgQP5/fff8fX15ZxzzuGcc87htNNO6xFjAz0N/1giqCgKNputu5fBX3/9RZ8+fejfv3+L3+toEq0TwK6Ki3Nn6KIKPW7KGcHTva0KCgooKCjAYrHYHxahoaHdqsbVjbr1B3hPvJEdPXqUPXv2uIUyVYfNZqtnamwwGJo0Na6qqiIlJYXQ0NAeO9SfkZFBXV0dSUlJTsVT7g5d2JKQkNBmI2DHNJvOTDdxhqqqKrZt20ZERES3pVW1Bz2BBC5btoxXXnmFzZs3M2rUKKxWKz///DNffvklX375pX2OuKeNc7g7ThDBTkZKSgrBwcFERkY2+32O84CCIHRYXNyBAwc4cuRIj0uq0KFXMlsjqtDjz3RSWFVVRWBgoL2d2JVVBJvNRlpaGqqqdrhRd1dAVVUOHTrE4cOHiY+P73Yn/6agmxrr1WFJkuwbAbPZzPbt27usnd3RkCSp3gO8p1kMAWRlZXHo0CESExM7rBreXLqJM/FBe1BZWUlycjIDBgxg0KBBHfa6XYWeQAJXrFjBsmXL+O677xg9erTT78nJyemRxQx3xwki2MlIT0+3e2o1hc4QhThWoRISEtoVF9dd0CuZMTExLlVUm4I+iF5QUEBZWRm+vr52W5rOirvT3zc1NdUePO9OrWpXoM+j9bS0E0crory8PGpra/H29iYiIqLLc6/bC5vNVi/yy90e4C1B30hkZ2eTlJSEn59fp7xPR6WbOINudq3bVPU0yLJsF0clJSW53Tmkqiqvv/46TzzxBJs2bWL8+PHdvaT/dzhBBDsZO3bswMPDg+joaKf/3llxcWlpaYiiSHx8fI+uQnV0JVOvIhQUFFBcXIynp6edFHakOrGiooLU1NT/a+/N46Ks1///FyBuiKwzIAqyKCAqMIxb2uKWigIzpJUtapZ2srRPpae0vtXx0ylTW6xTaouldT6aCSPumgtoLlkyLKLghoqyzAzLDOsw2/37w9/7bkBUwJm57xvez8ejP844R69hmLlf9/W+rtcLYrFYsEeRxChaqPNoZCmBdJLJjYAjjxPvh8bGRiiVSvZGQmgzjdbbzVKp1GE3o2T5gIjCmpoa9O7du4lxeWvfc5LdLFSzayGIwA0bNuDdd9/F3r17MWbMGK5L6pR0WCHIMAwMBgPXZSA/Px9OTk6IjIxs8ri9lkJIXJxQkzYsFgvy8/NRWVmJ2NhYu3ahiMEtOU50dnZmRWF74+4AoLy8HLm5uQgNDUX//v15KzTuhNCPs4G/59GaLyWQuUJyI0C2zslxIl8+LyStgkSW8aWu1kJiB9VqNaRSKafbzcR+ihiXt5Ru0hIk8YR8joWGEETgTz/9hDfffBO7du3C2LFjuS6p00KFoJ25ePEijEYjBg8ezD5GlkIsFgsA24lAstUZHBwsyKQNo9GI3NxcGI1GxMbGOnSWz/poSa1Ww2w2N9lAbu2XKFmqEKrRtbVRdHR0tCCPs0k3+V7zaM23zi0WCztX2NqIQ3tAFlvEYrEgjYpJYktFRQWGDRvGq24y8a8jwpC85+Q/Mn9JRGBYWBhnG/L3g8ViQU5ODoxGIy/nShmGwZYtW/Daa69hx44dmDBhAtcldWqoELQzV65cQV1dHaKjowHcHhdnq6WQoqIiXLlyhRdxce2BzNPxweOQRCMRUdjQ0ABvb2922aSlDhnDMCgsLERRURGvlyruBslttpdRtL0hXSiVStXmmcbm73l9fT37njvSpoTMowl1scViseD8+fPQ6XSQSqUOt3dpC9bvOYm19PLygpubG4qLiwXrskBEoMFgQFxcHO9EIACkpKTg5ZdfxrZt2xAfH891OZ2eDisEgVtHAlxz7do1VFVVQSKR2C0urqCgABqNBrGxsfDw8LBB1Y5Fp9MhOzsbfn5+vOyAEMsKtVqN6upqeHh4sEfIPXv2bHKcLZFIBLmY42ijaFtDPPaIALnfLlR9fT37nhObEvKe9+rVyy4/n6qqKmRnZwt2Ho3E9tXX1wvS4qahoQHXr1/HjRs3AKCJRyUf001aQggicMeOHZg3bx62bNmCpKQkrsuhoIMLQYPBAK5f3o0bN6BSqSCVSu0SF5ebmwuDwSCYuLjmqFQqdqBfCEcwjY2N7FFiZWUlKwQB2ESAcAEZKRBq5B2ZhTIYDJBIJDYXINY2JeXl5ejatSsrCm2VZkPmSsPDw+9rQ54riM9hY2Mj4uLiBDlXWlFRgZycHERGRkIsFrPpJuXl5QDQxKOSb/N2gDBE4J49e/Dcc8/hp59+YjN5KdxDhaCdKS4uxo0bNzBs2DAaF2cFwzC4fv06CgsLBRu3Ro5SiQm4q6srKxC8vLwE0UG4efMmLl68iMGDB/PGKLotGI1GZGVlsRvy9r74tTRjZh1/1p7PoUqlQl5eHgYPHizIsQ7iUWc2m3k5j9YaiBAfNGjQbbO9LaWbEF9SLtJNWsJisbCG41KplJfvwcGDB/H000/j+++/x1NPPcV1ORQrqBC0IwzDQK1WIzc3F4GBgRCLxfeMwWoN1nFxQgw8t1gs7EahRCKxm7eYPSEikGxnMwzDCgS1Wg0A7Eyht7c375YuhGIUfTf0en0TexVH/4xJmg0RCGSukNwMtKYzWVxcjAsXLmDo0KEQiUQOqNq2mEwmZGVlwcnJCbGxsYK7IQX+7oi3dr6ay3STlhCCCMzIyMATTzyBtWvXYtasWYK7ZnV0qBC0E9bzgOQosby8nO0aicVieHp6tvkDUVJSgvz8fMEOMptMJvZLSyKRCPIotbKyEjk5OWzKQPP3kGEYaLVa9n03GAzw8fGBWCxuspnIFcQoWqPRQCKRCMYo2pq6ujoolUpeLbY0Fwj3Mi4nHXGhCnFidu3q6oqYmBje3ey0BrVajbNnz7Y7OtFgMDQ5QibpJr6+vg65ASRzmQ0NDbwVgb///jtmzJiBzz//HC+88AIVgTykQwtBo9HIzm85kjsthZBjJSIQnJycIBKJ4Ofnd08Ps44QF0esSbp27Yro6GhefmndC2JSHBkZib59+97z+cTclrznJO6OCARHHysRo+i6ujrBCnGyWduW2EFHYzAYWFFYUVHBeteRU4Fr167hxo0bkEgkglzwMhgMyMzMRI8ePRAdHc0LId5WiAgcOnSoTUZTWko3sd48t/XcpBBE4B9//IHk5GR89NFHePnll3n5WaVQIWhzrO1h7uYPaLFY2K4R8a0jFwofH58md5Lk4l1TUwOJRMKpOWt7qampQVZWFnx9fREZGSm4C4f1TGNzk+K20NDQwL7n1l0jsVhs9/e1IxhFk26skDZriXE5EQjERH7AgAHo16+f4Dpp5Ei+V69eGDJkiOA+y8Dfc5m2EoHNsWW6SUtYb2hLpVJefpbPnDmDpKQkLF++HK+++ioVgTyGCkEbQkyi27oUQmaNiEBobGxkzYx79+6NvLw8wcbFAX/P4JCLt9C+EKz96Ww500i6Rmq1GpWVlWzcna1mSa0hF2/SwRGa+ABudXDy8vIQERHRqm4s3yAeexUVFfD19YVWq4Ver2/SNeK75QpJPCGzsUL7LAO3Mszz8/MdOpdJ0k3Ky8ubdIjbs3kuBBGYnZ2NadOm4e2338aSJUsE+XvSmejQQtBkMrF33/bElkkh1keJZWVlqK+vR7du3RAaGnpHM2M+Q6K+hGp0bTabcfbsWdTV1dk1c9dkMrFxd+Xl5XBxcWE7xPcbfUaSKoTajQX+XqoQ6oY5uXiT36Pu3buDYZgmc4XV1dVs18gRHeK2Ul9fj8zMTIhEIl76fbYGIgLvp6t/v7S0ee7j48POFt7tiNdisbCjHXwVgXl5eZg6dSpee+01vPPOO4L8PelsUCF4n9gjKQT4u/vRt29fdO3alb1QeHp6sl0jPtgW3AmGYXDp0iWUlJQgNjb2rlFffMVgMCA7O5vdiHTUDA6ZNSJzhe2NuwP+jsoKDAwUpFE0cMuU/erVq4JdqiA+hyTu604X7+aZuN27d2dFIdeGxrW1tcjMzESfPn0wcOBAQf4elZSUoKCgADExMbyZsW4p3cTT05PtFvbs2ZN9rhBEYH5+PuLj4/HSSy9h+fLlgvw96YxQIXgfkE6g2Wy2mT+g9Sxac283vV7PHh9rtVr07t2bFYXWXxhcQ2Yaa2trIZFIeFVba6mvr4dSqUTv3r0xePBgzo5SyYWCvO/kKJEsm9ztYkBuJoRqFE1uJkpLSwVrM2Ttc9gWexXSIW7J0Lj5DLG9Ics5gYGBLW7JCwHilxkbG8vrm4mGhgbWvJwY1pP3/MaNG7w+Dr548SLi4+Mxe/ZsrFixQpAnD52VDi0EzWYzTCaTXf5uruPirOfLKioq4ObmxopCe0VgtYbGxkZkZ2cLeqZRp9MhKyuLlz6NdXV1rCisqalh4+7EYnGTY2uhG0Vbx/ZJpVJB3kwYDAYolUp069btvuYyyWIZ6Ro1NjayR4n22Ea1RqfTQalUCmo5pzlkPEUikcDLy4vrclqN9biISqUCwzDw8/ODn59fu83L7UVhYSGmTJmCGTNm4LPPPnOYCFyxYgUUCgUKCgrQo0cPjB49GitXrkRERAT7HL1ej8WLF+OXX35BY2MjJk+ejLVr1wrye9FeUCHYDtq7FHI3rOPiJBJJm459jUYjysvL2fmybt26seLAkUdKxGTZ09MTgwcPFuQdIemiCSHyTq/XszcDVVVVrLFtY2MjysrKBHfhI5C5zIaGhjZ/FviCXq9HZmYm3N3dbbpZS+YKydgAuRmw3ka1FST7OCwsjPefhTtRVFSEK1euQCKRCHI8hWEY5OXlobq6GuHh4aiqqkJ5eTlrXs6HdJPr169jypQpmDZtGr766iuHfu9PmTIFM2fOxPDhw2EymfD2228jLy8P58+fZz8LCxYswJ49e7Bx40Z4eHhg4cKFcHZ2xokTJxxWJ9+hQrANMAzDdgKB+1sKsaa+vh5ZWVlsQsL93OkRqwpyoXBxcWliYG2vDymx9RDyLBrpHAixi2Y0GqHRaHDlyhXo9Xp069YNfn5+7TYu5wpicQPAoXOZtoSYXfv4+GDQoEF2/dmTm4HmR4kikei+bgJJ7q5QN7SBvw274+LiBOnVyDAMzp07h+rqakil0iYb5WTJqLy8HFqtlrN0k+LiYkyePBkTJkzAN998w/nNv0ajgVgsxtGjR/Hwww9Dp9NBJBJh8+bNmDFjBgCgoKAAgwYNwqlTpzBq1ChO6+UL/Okt2wFbfhjstRRC4uICAgJsMoRtLfzI0oFKpcLZs2fBMEwTr0JbvQaSdjJo0CAEBATY5O90JAzD4PLlyyguLkZcXJwgOwfOzs5Qq9VwcXHB6NGjUV9fD7VajZycHNa4XCQS8TLujtDY2AilUonu3bsL1uKmpqYGSqXSYUsV3bt3R2BgIAIDA5scJZK5xPa878TuqaXcXaFAFow6oggEADc3N7i5uSE4OJg9EdJoNCgqKoKLiwt8fX3t/nkvKyvDtGnT8NBDD2H9+vWci0Dg1igDAHYONDMzE0ajERMnTmSfExkZiaCgICoErejQQtBWWNvD2OooGPhbQEVERKBfv342+TutcXZ2ho+PD3x8fJrEnhUUFMBoNMLX1/e+5k2s004kEgmvh7DvhMViwblz56DT6TB8+HDeWXa0Bmuj6OHDh8PV1RVubm4QiURN5sus3/fWWFU4ErKc4+npiaioKF5cVNoK2dAODg7mxC+zS5cu7AyZtWE9ed+tLUruNFdIjJbbG7nGB0iGtlQqFeSCERGBOp0Ow4YNu6e3pKurK/r06YM+ffo0STcpKChg4y3J+24rn0q1Wo2EhAQMGzYMGzZs4MVNm8ViwWuvvYYxY8ZgyJAhAG6J1a5du952c+/n54eysjIOquQnVAjeA3sshZAO1M2bNxEbG+sQKwMnJyd4eXnBy8sL4eHhqKmpgVqtxpUrV5CXl8dm4YpEolaJAyKgtFothg8fjl69etn9Ndgao9GInJwcmM1mDB8+nPdmvi1BjKLJWEHzL2RnZ2d4e3vD29sb4eHhrEfltWvXcO7cOXbOSCwWc/b6SRfN39+fd8s5rYUcpfJlQ9v6fY+IiGDf96KiIpw/f75FixJirxIdHe0wo2VbQ25MpVKpIDO0GYbB+fPnWy0Cm2N980/e9/LychQXFyM/P98m6SYVFRVISkpCVFQUNm3axJullVdeeQV5eXk4fvw416UIjg49I8gwDAwGQ7v///ZYCuFjXBy5SKjV6iZZuHcSB6QDZbFYEBsbK0gB1dDQgKysLEEnbdyvUXR9fT27bKLT6Vg7IlsvHdwNspDQv39/hISECFIEksxaoYxGNF8ycnNzQ7du3VBVVYWYmBjOjJbvB3I6UVxcDKlUKsgbUyICtVotpFKpzRdAGhsb2SNk63QTX1/fVpvWV1VVITExEYGBgdi2bRtvXCEWLlyIHTt24NixYwgJCWEfP3LkCCZMmICqqqomXcH+/fvjtddew+uvv85BtfyDCsE7/P/ssRSi1+uRnZ0NFxcX3lqrNM/CbW5PQhZbSM6oEAWU0HOPgb8FVFBQkE283QwGA7tgVFFRgZ49e7Ki0NZxdwQyixYeHm6X0QhHQMY77JVZa2+MRiMKCgqgUqng7OyMLl26NJkrFMJng5ywlJSUUBHYStqTbqLT6ZCUlARfX1+kpaXxogHAMAwWLVqE7du3IyMjAwMHDmzy52RZZMuWLZg+fToA4MKFC4iMjKQzglZQIdjC/8d6KcRWIrC6uhrZ2dnsJqEQvmBJ0gHJwu3Rowf0ej38/PwwePBgQXZvKioqkJuby9kcly0gFjf2ElAtxd0RUXi/cXcEIqCEPItGtsz5lFTRVgoLC1FUVASJRAJ3d3d2vkytVsNkMvFyntQaYjpeVlYGqVTKixOWtsIwDOuZOWzYMIdbwVinm5SXl6O2thaenp7Izs7GyJEjMXToUNTU1CA5ORk9e/bErl277Ba12VZefvllbN68GTt27GjiHejh4cHWuGDBAuzduxcbN25E7969sWjRIgDAyZMnOamZj1Ah2Oz5tp4HBP6+cBNTViGKDzJj4ubmhvr6evTo0YPtFDrSruB+EPp2M/C3+HBU5q7FYkFlZSXbLbRYLE02z9vTEb5+/TquXLkiWAHFMAyuXbuGa9euCdqfjhylxsXF3TZPxzAMampqWFFYV1cHLy8vtlvIByHAMAwuXrwIlUqFYcOGCdJ0nGsR2BINDQ3QaDSYP38+/vjjD/Tp0weenp5wcXHB0aNHebWAc6frzo8//ojnnnsOwN+G0lu2bGliKO3v7+/ASvlNhxaCwK2uVmuw11LIneLihAK56F29ehVDhw6FSCRq0jHSaDRwdXVt4lXIN1HIMAy7SRgdHS1Y8UG6N7GxsZwYRTMMA51Ox4oDvV7PLhndbRPV+v9/5coV3Lx5ExKJRLC2HuQYsiUBJQSsBVRru2hEHGg0GnaukHSJubgRZBgGFy5cgEajEWzyDB9FYHNKSkrw0ksv4fLly6ipqYGzszOmTp2KpKQkTJo0SZC//5Tb6fBC0GAw4F4v0R5LISQiq7y8XLA5qSTyjryGlj70FouliSgknnVisZgXM0ateQ18x/o1xMXF8WIGqqWEC09PT1YcNO8YkYteRUUF4uLiBH2E11FeQ3sFlLVvXXl5OVxdXdlOoa1GB+4GwzDs52HYsGG86E62FfIayPvAx9eg1+vx1FNPQavV4rfffkOvXr1w6tQp7Ny5E7t27UJhYSHeeOMNrFixgutSKfdJpxaC9loKIbYkJpMJsbGxvLzTuxftibyz9i5Tq9Uwm833fYx4P5hMJuTm5qKxsVGwUWUkbq2+vh5xcXG8fQ16vZ4VhSTuznrJKC8vD3V1dbx+DXfDYrGw2/6OGOa3BxaLhV1IsFUHiowOkG6h2Wxmu8Q+Pj42nyu07qLxVUDdCyGIQIPBgGeffRalpaU4ePBgix6xly5dQk1NDeLi4jiokGJLOq0QtDaJBmwnAuvq6pCdnQ03NzcMGTKENx5LbaGhoQHZ2dno1q0boqOj2202XV1dzQamNzY2wtfXlz1GtPfgeWNjI7KysuDq6oro6GheDrrfC6PRiKysLDg5OQkqbo3E3ZGOEXDL7DgqKgq+vr68Gx24F2azmb2hiIuL4+W2/70gQra2trbFpApbYL10oNFo2LlC0iW+X+Hp6M1ae2B9pM3XbqbRaMRzzz2HwsJCHD58WJB2QpS20eGFoNFoZMUewXoe0MnJyWZHGZWVlcjNzbVZXBwXVFdXIysrC2KxGBERETb52TAM08SrsK6uDt7e3mzHyNYXVpL16unpicGDB3N+PN0eiM/hnYyihYDBYIBSqQTDMOjVqxcqKip4NzpwL0wmE+uZKZFIBCPGreFKyBKfSo1G0yQPVywWo1evXm36fiTdzOrqasF2lYUgAk0mE+bNm4dz584hPT1dkJZIlLbT6YSgvTaDi4uLUVBQgMjISMGGtJPt5tDQUPTv399uQpbk4KrValRXV7OzZWKx+L6/4El2c9++fTFgwABBinFro+hBgwYJ8jU0NDRAqVTC3d0dQ4YMgbOzc5PRAY1Gw8bdkS4x37rnBoOB7SrHxMQIUoybzWZkZ2fDbDZzKmQNBkMTM2MyV0gWzO52Q+CIbqa9EYIINJvNWLBgAf766y9kZGQINmea0nY6lRC0d1xcTEyMIPN2AaCoqAiXL192+HZz85QDd3d3VhS2dRhfpVLh3LlzgjYotrVRNBcQISsSiRAZGdniayD2JEQUWneJRSIR5xd7Et3n5uaGoUOH8r5z2RImkwlZWVkAAIlEwhuh3ZKZMbkhaJ57brFY2BlZqVQqyGN5sqWtVqt5KwItFgsWLVqE33//Henp6byISaQ4jk4hBIlBtD3i4s6ePYva2lrexMW1FXKnqlKpEBsby6mlh8FgYEVhRUUFa1HRmqMk4k1HLG6ESEcQsjqdDllZWQgMDGyTkK2rq2Pf++rqajbuTiwWO9wapKGhAZmZmfDy8hKM+XtzjEYjlEol77uZ1pZEGo0G9fX17A2Bj48PLl682GFEIF9tbiwWCxYvXozffvsN6enpCA4O5rokioPpFELQuito67i4Ll26IDo6WpBfUtYbqRKJhFd3qiaTCeXl5Wy6RdeuXVlh4OHhwb6H5Iu2tLRUsN50gOONou1BRUUFcnJyMGDAAAQFBbX772meaOPm5sYeI9rbs450M8mMrBA7smQ2s3v37oiOjhaUkLW+IdDpdHB2dkb//v3h7+8PNzc3Qb0fQjC8tlgsWLZsGdLS0pCRkYGwsDCuS6JwQIcWggzD4JNPPsGECRMwcOBAm90VCzEurjlkq7ZLly6IiYnh9RC82Wxu4lXo7OzMzpUVFxejrq4OEomEl1+094KYLN+4cUOwKRUAUFZWhnPnziEqKsqms0XNbwjaMlvWVtrbzeQTjY2NyMzMZLPAhfjdRJZb9Ho9+vbti8rKSlRUVKBbt27se+/h4cHr12YdfcdnEfjee+/hl19+QUZGBsLDw7kuicIRHVoI6nQ6PPvsszh48CDCwsIgk8mQnJx8X+LNUQsV9qS2thZZWVnw8vJCVFQUr79Qm2OxWFBVVYXS0lKUlZUBAPz8/ODv7w9vb2/eHoG1BDEdr6yshEQi4YVRdHsg3czo6Gi7Wk00j7tjGKbJbNn9vPeVlZXIyclhP9dChBxpk215IX43mc1m1oPVermF3AySI2QANnvvbY0QRCDDMPj3v/+NH374Aenp6YiKiuK6JAqHdGghSNBqtdi1axcUCgUOHDiAfv36saKwtUcn1nFxQj++y83NRf/+/RESEiLIiwXZSHVzc0NgYCDbMeL7Fqo1pOvR0NAgaDsMEnvn6G4mmS0j2+fEp5IkXLSlw63RaHD27FlEREQIduO/vr4emZmZ8PX1veOCDt8hG87EqudOn1+GYaDVallRqNfr4e3tzb73XC4akeXB0tLSVsf3ORqGYbBq1Sp8/fXXOHLkCKKjo7kuicIxnUIIWlNTU4O9e/ciNTUV+/btg6+vL2QyGeRyOYYNG9aiKDSZTLhw4QIqKioQGxsryLg4ALh58yYuXLhg8+M7R6LT6ZCdnQ0/P78mM1zWW6hqtRoNDQ3w9vaGn59fq3JwHYnBYEB2drbgjKKtIUtGarWa89g767g7tVqN2tpaeHl5sceIdxPZ5Eh78ODBgg2hr62tRWZmJvz9/REeHi5IEUj8GhmGafOGs3XUIVk0Iu+9I4WYdQ71sGHDeCsCv/jiC3zyySc4ePAgpFIp1yVReECnE4LW1NfXY//+/UhNTcWePXvQu3dvJCUlQSaTYdSoUXBxcUFZWRmmT5+O5ORkLFy4ULCdG2JxExsbCy8vL65LahekcxMWFoagoKC7XvDIxUGlUrHCgCybcNkxIEbRJHmGT0darcViseDcuXOsuS+floyAWz9jsnCg1WpZSyKRSNRk4eDmzZu4ePGi3Y+07UlNTQ0yMzPRr18/hIWFCVYEZmVlwdnZGbGxsff1mSCLRhqNBpWVlejevXuTuUJ7/XyEIgLXrl2Ljz76CPv378fIkSO5LonCEzq1ELRGr9fj4MGDSE1Nxc6dO9GtWzdMmDAB6enpGDBgALZu3SrITqDZbGYv2kK1uAH+7ma2p3PT0NDAdot0Oh1n1iQ1NTXIysq6q78e3yEzXAaDQRBxa8TImFgSde/eHWKxGCaTid00F+qNkU6ng1KpRHBwMEJCQrgup12YTCYolUq4uLjctwhsjvWSGYk6JMfHtpwrJAtfxcXFvBaB33//Pd577z3s3bsXY8aM4bokCo+gQrAFDAYD1qxZg/feew+BgYHQ6XSYNm0akpOT8fDDD/P+4kcgR5AAEBsbK5i6rbHeqrVFN7O5NUmvXr2aGFjbS5yRZQQhz2aS7GPSueHzDGZLmM1mlJeXo7CwELW1tXB1dYWfnx9EIpEg4u6sIcbjpDsuRMjvE3EusGd3nKTakG5hY2MjfHx8WGHY3u9GoYjAn376CW+++SZ27dqFsWPHcl0ShWdQIdgCGzZswKuvvoqvvvoKs2bNwrFjx5CSkoK0tDTo9XpMmzYNcrkc48aN4+1RcV1dHbKystC7d28MHjxYsEeQ58+fR1VVlV22ao1GYxNrEtItEovF6N27t83EWkcwirZO2hDqkbb1XGNsbCyMRiN7U2A2m++YbsE3iF+jkH+fiOF1165dERMT41ARbj1TqtFoUFNTAw8PD1YUtkXMXblyBTdv3oRUKuXl1j/DMNi8eTNef/117NixAxMmTOC6JAoPoULQCrPZjGXLlmHDhg1QKBR45JFHbvvzEydOIDU1Fdu3b4dOp0N8fDzkcjkmTpzIG5uAjpC3azQakZubC6PRCIlEYve5PtItIqKwS5curCj09PRs98+QWKsIOfGkrq4OSqUS3t7egvXNJDcVWq0WUqm0yVwjwzCorq5mRSFZNCKzZXzqpJM52UGDBgl24Ytvhtck5pLMFfbs2ZMVhXebK+S7CASAbdu24ZVXXsG2bdsQHx/PdTkUnkKFoBVVVVV4+umn8eWXX2LgwIF3fa7FYsGff/6JlJQUbN++HSqVCpMnT4ZMJsOUKVM4+2IoLS3F+fPnERERIdhugV6vR1ZWFrp164bo6GiHd2es/erUajUAsKKwtUeI5MiILOgI1Si6uroaSqVS0DcV1nm1cXFx97ypaL6F6uHhwS6bcHmzp1KpkJeXhyFDhjg0D9yWGAwGZGZmomfPnrzMcDaZTE3mCp2dnVlRaO1TSsZVhg0bxlsRmJaWhvnz52PLli1ISkriuhwKj6FC0AZYLBZkZWUhJSUFCoUCN27cwMSJEyGTyTB16lSbHjPeCYZhcPXqVVy/fh3R0dHw8fGx679nL8hCBV9SW8hsERGF1keIvr6+LR6RdhSjaDLXGBISItj8UeJNZzKZEBcX12arnubdorbkX9uS0tJS5OfnC7qzLLTUE+vPvkajgdFoZL9XKysrMXz4cN5+tnfv3o25c+fip59+wvTp0x327x47dgyrV69GZmYmSktLsX37dsjlcvbPGYbB+++/j++++w5arRZjxozBunXr7tl4odgXKgRtDMMwyMvLw7Zt27B9+3ZcvHgR48ePh0wmQ0JCAry8vGx+8bAWHrGxsXB3d7fp3+8oiPAICgriZcQXOUIkolCv1zcRha6urk3isSQSCW9nSO8FSdCJjIxEQEAA1+W0C1svt5CZUo1Gw8bd2WJ84F4Qm5uYmBjB3uAREeju7o7BgwfzXgQ2h2EY1NbW4sKFC6iqqgIA1quS605xcw4cOIBZs2bh+++/x8yZMx36b+/btw8nTpyAVCrFY489dpsQXLlyJVasWIFNmzYhJCQE7777Ls6ePYvz588L9ruyI0CFoB1hGAYFBQXs8XFeXh4efvhhyOVyJCQkQCQS3ffFw3qWLjY2VrAfJnKkHRkZKYh0BzJwrlKpoFarUVdXB09PT+j1eri6urar+8QXiPAQcoJOY2Njkzk0Wy+3mM3mJnF3ANiZQltGHRYVFeHKlSuC9v/U6/XIzMyEh4eHYKPvALAnLlKpFK6uruxMaVVVFdzc3FhR6IgToDuRnp6OJ598EmvXrsWsWbM4/Vk7OTk1EYIMwyAgIACLFy/GkiVLANyyQPLz88PGjRsdLlopf0OFoIMgM2OpqalQKBRQKpUYPXo0ZDIZkpKS0KdPnzZ/aIk5cY8ePexysXMEDMPg2rVruHr1qqA7HpWVlcjNzQXDMDCbzfDw8GCtSfhmuHwnyHtx7do1QQsPEkFINubt3X0ikWekU0yOEK07xe3h6tWruHbtGuLi4uDh4WHjqh2DXq/HmTNn2FzzjiACm5+4GI1Gdq6woqICLi4uTeYKHdX9/P333zFjxgysWbMGzz//POc/6+ZCsLCwEGFhYcjKykJsbCz7vEceeQSxsbH44osvuCmUQoUgFzAMg6KiIlYUnj59GiNGjGBTTQIDA+/5Ib5T1JqQsFgsTWLKhHqkXVNTA6VSCbFYjMjIyCZehVVVVWyyhaMjr9oCwzC4dOkSSktLBf1ekA1nrjJ3yREiEYV1dXVsqo1IJGpVx9560agl4SEUGhoakJmZyW6bC/E7CgB7c9Sa98JisaCqqoqdKyX55yKR6L5uCu7FqVOnkJycjI8//hgLFizgxc+6uRA8efIkxowZg5KSkiYb70888QScnJywdetWjiqlUCHIMQzDoKSkBAqFAgqFAsePH4dEIoFMJoNMJmvRfDgjIwMWiwUDBgwQrJksmaVraGiARCIRTNesOfcyiibJFiqVChUVFejZsyfEYjH8/PwcumxwN6ytVeLi4ng179QWiCAPCAjgzYZz81Sbe90UWAtyPtuS3IuGhgacOXOGM0FuK9oiAptD8s/JTSG5KSDdQlt95505cwZJSUlYvnw5Xn31Vd78rKkQFA5UCPIIhmGgUqmQlpYGhUKBjIwMDB48mBWFAwYMwAcffICvvvoKBw4cEGxguMFgQFZWFlxcXBATEyPYWTpi59HauUaTydTEq7Br166sKLBnDurdsF5uaY21Cl/RarXIysriddyawWBokmrTo0cPdq6QxFcWFBSgvLwcUqlUsIK8vr4emZmZEIlEgj2tAMCOrEilUpvEi5IMbI1Gw84Vkk6xu7t7u35O2dnZmDZtGt5++20sWbKEVz9rejQsHKgQ5CkMw6CyspIVhQcPHkS/fv1QVVWFTz75BDNnzuTVh761WCeeCMFC4k4UFRXh8uXL7bbzsF42UKvVcHZ2ZkWhl5eXQ34uRqOxSQShUAU5SdoYOHAgAgMDuS6nVTT3q3NxcYGLiwtMJhNvo8paQ11dHTIzM+Hn54fw8HBBfkcBwPXr11FYWGgzEdicljbQSaewtZ//vLw8xMfH44033sDbb7/Nu5/1nZZFlixZgsWLFwO45VMqFovpsgjHUCEoAKqrqzF9+nTk5+dDIpHg8OHDCAwMhEwmg1wu54U7f2vQarXIzs4WtDkxwzC4fPkyiouLbWYUTeaKiCi0WCxsp8jHx8cuS0D23qp1FGq1GmfPnkVUVJRgkzZMJhOysrJQW1sLZ2dnWCwWwcTdWVNXV4czZ87w6mi+PdhbBDaHGNiTbqHZbGaXjXx8fFq8QcvPz0d8fDxeeuklLF++nDc/69raWly+fBkAIJFI8Nlnn2HcuHHw9vZGUFAQVq5ciY8//riJfUxubi61j+EYKgR5zs2bN1mrmZSUFHh4eKCmpgZ79uxBamoq9u3bB7FYjKSkJCQnJ0MqlfJSFBJfOiF1bZpj7dcYFxdnl64NwzDQ6XSsKDQYDE28Cm0hCurr66FUKuHp6YmoqChe/r60hpKSEhQUFAja5sZisbCzssSWpLlXpbe3N3uEyKe4O2tqa2uRmZmJvn37IiwsjDfCpK0Qux6uNrWt4w41Gg3q6urg7u6Oo0ePYvr06QgLC8PFixcRHx+POXPm4KOPPuLV5zcjIwPjxo277fE5c+Zg48aNrKH0t99+C61WiwcffBBr165FeHg4B9VSCFQI8pj8/HxMnDgR8fHxWLduXYt3hnV1ddi/fz9SU1OxZ88eeHh4ICkpCXK5HCNHjuRFp4ccowr5gm02m5GTk4PGxkaHGUWTDVTiVVhfX892CtorCshChb+/v6CP7sjvVGxsLLy9vbkup12Q3ymj0XhH30kSd6dWq1FTU8PG3YnFYt4sWNXU1CAzMxOBgYG8NIJvLVyLwJaor6/H2bNn8cYbbyA3NxehoaHQ6/V45JFHsGnTJl58v1OEDxWCPEar1eKXX37BP/7xj1Z9uTY0NODgwYNQKBTYuXMnunfvjsTERCQnJ2P06NEOP2IiG5AlJSWCztvly3JLc1HQVluSqqoqZGdnIzg4GMHBwYK8YFtHKfLpgt1WTCYTsrOzwTAMJBJJqz6bJO6O2BL16tWLHSHgagOdiECSBiRU+CgCm6NUKvH6669Dq9WitLQUIpGItRx76KGHBDvjS+EeKgQ7KAaDAUeOHEFqairS0tLg5OSEhIQEJCcn46GHHrL7EZPZbMa5c+dQXV0NiUQi2OF3Yk5M8lH5cgdONhDVajW0Wi169+7Ndopa2jbVaDQ4e/YswsPD0a9fPw4qvn86itchib5zcXFBbGxsu36nyLIBWTbp1q0bKwrtGXdnTXV1NZRKJWudJFRu3LiBy5cv81oEFhcXY/LkyZg4cSLWr1/Pfr/v2LEDO3fuRGNjIz799FPMnTuX61IpAoQKwU6AyWTC0aNHkZKSgrS0NDQ2NiIhIQEymQzjx4+3uWUI2Ua1WCyQSCS8nWu6F+QYle+m3QaDge0UVlZWsrYUfn5+cHNzQ2lpKfLz8zFkyBD4+flxXW67YBgG+fn5qKioELS1isFggFKpRLdu3Wy2pGM2m1FRUcHOlTk5OTVJtrDHzYtOp4NSqURoaCj69+9v87/fURARKJFIeHtiUVZWhsmTJ2PMmDHYsGHDbe+nxWLBX3/9BQ8PD0RGRnJUJUXIUCHYyTCbzThx4gSbf1xTU4P4+HjIZDJMnDjxvi+wHSH2DvjbKFpox6jNO0XEkiQiIgL9+vUTzOuwxmKxIC8vD7W1tYiLixPsdmFjYyMyMzPh5uaGoUOH2mXI32KxQKvVst1ieyRbEM/GsLAwwRraA8IQgWq1GvHx8YiLi8OmTZsEs0FOERZUCHZiLBYLTp8+zYpCjUaDSZMmQS6XY/LkyW1ONaiurkZWVhYbtSZE0QHcugM/d+4cBg0ahICAAK7LaRcMw+DixYsoLi6Gp6cndDodXFxc2ONjT09PXm0b3glieN3Y2Ii4uDjBdpf1ej0yMzPh4eHhsE3tlpItvL292SPk9pwEkDnTAQMGCHb7H7jlxnDx4kXExcXxVgSWl5dj2rRpiIiIwJYtW+gMIMVuUCFIAXBLFCqVSqSkpEChUODmzZuYOHEi5HI54uPj0bt377sKu/LycuTm5iIkJERQHbTm3K9RNB+wPkYlNjfEq4wcIQOASCSCn58fvL29eSkKib8eIGzDa5K04ePjw2nmbn19PdRqNTQaDXQ6HTtXKhKJWjXDW1lZiezsbEHPmQLCEIFVVVVISEhAUFAQtm3bJtgbIIowoEKQchvkKI6IwsuXL2P8+PGQyWSYNm0avLy8mlzMvv/+e4hEIowYMUKwpr7WRtESiYS3Q+P3wmKx4OzZs6irq7vjMSrDMNBqtawoNJlMTbwK+XCcT2bpunbtipiYGF7U1B74mrTR2NjIzhRaZ2CLRKIWb/qICIyIiGhVnCJfISJQIpHAy8uL63JaRKfTISkpCSKRCNu3bxds7CNFOFAhSLkrDMOgoKCAFYXnzp3DI488ArlcjqlTp2LVqlX4+eef8csvv2D8+PFcl9suLBYLzp8/j6qqKrsZRTsCk8mEnJwcmM1mxMbGtqqLQAxsrQ2Mrb0KuejC6fV6KJVKu87SOQKybMR3k2WSgU3izpqPEFRVVSEnJweRkZGCHZUAbm3eXrhwgdcisKamBnK5HL169cLOnTt54xVJ6dh0KiF47do1fPDBBzhy5AjKysoQEBCAZ599Fu+8806Ti2Zubi5eeeUV/PXXXxCJRFi0aBHefPNNDivnB6RrlpqaipSUFOTn56N79+546aWX8Pzzz8Pf35+3F7s7YTKZmsygCfXu27qDFh0d3a6hcoZhmngV1tbWNkm1cMTPhqSeeHl5ISoqSnC/TwSdToesrCzB+etZjxCQuDOLxYLAwEAMGDBAsJ1ZIYjAuro6TJ8+Hc7OztizZ49gb0gpwqNTCcH9+/dj69ateOqppzBgwADk5eVh/vz5mDVrFj755BMAtxYewsPDMXHiRCxbtgxnz57F888/jzVr1uDFF1/k+BXwg5qaGjz++OMoKirCjBkzcPjwYfz5558YOXIka3AqhA1VvhhF3y/E69Dd3R1DhgyxWQeNzJSp1WpUV1fbPdWCxJQJPfWEbNUK3VqF5Dh7e3ujrq4OjY2NbLfY19dXMHNrJIqQzyk0DQ0NePzxx2EwGLBv3z7BemRShEmnEoItsXr1aqxbtw6FhYUAgHXr1uGdd95BWVkZ+0W3dOlSpKWloaCggMtSeUFpaSmmTp3KZh/37t0bDMOguLgYCoUCCoUCJ06cgEQigVwuh0wm4+XySH19PbKysmwunhxNbW0tlEolRCKRXTe1W0q18PPzg1gstknngnTQhB5TRmbphJypDfwtAon3ZEvdYk9PT7ZbzNcjTCGIQL1ej6eeego6nQ4HDhwQ7HwyRbh0eiH4//7f/8P+/ftx5swZAMDs2bNRXV2NtLQ09jnp6ekYP348KisreXus4AgqKyshkUgwbtw4fPfddy120BiGgUqlwvbt26FQKHD06FEMHjyYFYUDBw7k/CJPbG74bhR9L7RaLbKzsx0unoxGIysKKyoq0KNHD7ZT6O7u3uY6iGej0H3pyOa80GfpVCoV8vLyMHTo0Dtmg+v1evb4mNwYkN8BNzc3XnymhCACDQYDnn32WZSWluLQoUOd+vpC4Y5OLQQvX74MqVSKTz75BPPnzwcATJo0CSEhIfjmm2/Y550/fx6DBw/G+fPnMWjQIK7K5QX79+/H5MmTW/VFzzAMKioqsGPHDqSmpuLw4cMIDw+HTCaDXC7nxEqjoqICubm5gjOKbg4RHQMGDOBUPJlMJlRUVEClUqG8vByurq5sqomHh8c9f74k+k7o26ikgzZ48GD4+/tzXU67IR6a0dHRrbZPMhgMrIl5RUUFunXrxorC1vwO2AOSphMTEwMfHx+H//utwWg0Ys6cObh69SqOHDnC2zopHZ8OIQSXLl2KlStX3vU5+fn5TeJ3iouL8cgjj2Ds2LH4/vvv2cepELQPDMNAp9Nh586dSE1NxW+//Yb+/fuzotAR26EdwSga+Pt1REVF8cqux2w2N1k0cHJyYgWBl5fXbe9vaWkpzp8/L+joO+Dv13G3DpoQIOIpOjoavr6+7fo7SNwdSbYhcXdisdhhfpVCEIEmkwnz5s3DuXPnkJ6eLujfG4rw6RBCkHhh3Y3Q0FB25q+kpARjx47FqFGjsHHjxiZfTvRo2DFUV1djz549SE1Nxf79++Hn54ekpCQkJycjLi7O5heM69ev48qVK/d1keMDN27cwKVLl3j/OkjUGZkpM5vNrCDw8fFBaWkpLl68yPvXcS/INiqfRUdrIMeotnwd1r8DGo2Gjbsjyyb2iEsTggg0m81YsGABzpw5g4yMDEF3kCkdgw4hBNtCcXExxo0bB6lUiv/+97+32SGQZRGVSsXOwL399ttQKBR0WcRO1NXVYd++fUhNTcXevXvh6emJpKQkyOVyjBgx4r4sKxiGwaVLl1BSUiJoo2iGYVBYWIgbN24gNjaWt4kILUG6wdZehQAQEhKC/v37CzY/laTQ8HkGrTUQMWvP10Hi7sjvQH19vc2tiYQiAhctWoTjx48jIyND0AktlI5DpxKCxcXFGDt2LPr3749NmzY1ERjkrkyn0yEiIgKTJk3CW2+9hby8PDz//PP4/PPPqX2MA2hoaMBvv/0GhUKBXbt2oUePHkhMTIRcLsfo0aPbJBo6ilE0wzC4cOEC1Go14uLi2pwBzReID+XNmzfh5+cHnU6Hurq6JgbWQrEkuXbtGq5evQqJRCIoUd4ckrThaDFbV1fHLhxVV1ezcXdisRg9e/Zs899XVlaG8+fP87rDbLFY8MYbb+DgwYNIT09HcHAw1yVRKAA6mRDcuHEj5s6d2+KfWf8YrA2lfX19sWjRIrz11luOKpPy/2MwGHDo0CEoFArs2LEDTk5OrCh8+OGH7+r7R4yiDQYDJBKJYI2iSdxfTU0N4uLieGvTcS+sxaxUKmVFubUlSU1NDWtJIhaLW4zH4xrrzmxcXBx69+7NdUnthowZcG2yTOLu1Go1Kisr4ebmxo4RtGYLXSgicOnSpdi5cyfS09MRFhbGdUkUCkunEoIU4WI0GnHs2DFs27YNO3bsgMFgQEJCAmQyGcaNG9dE6BUXF2P9+vWQy+WIiYkR7NGj2WxGTk4ODAYD4uLiBNMtaw7pzGq1Wkil0juKWWJJolarodVq77tLZGtIR7OkpARSqVSwnVng1rH2lStXeNfRNBqNTZZNXF1dWVHo6el52+wwsbqJiYnhtQh877338MsvvyAjIwPh4eFcl0ShNIEKQYrgMJvNOH78OFJSUpCWloaamhpMnToVMpkMgYGBePzxxxEVFYXU1FTBikCj0YisrCw4OzsjNjZWsK/DbDbj7NmzaGhoaFOEn8FgaOJV6ObmxorCXr16OdyShHQ0NRqNoMcMgFuLU4WFhYiLi+P1zKzFYkFFRQU0Gg00Gg0YhoFIJIJIJIKPjw/Ky8uRl5fXJqsbR8MwDP7973/jhx9+QHp6OqKiorguCV9//TVWr16NsrIyxMTE4D//+Q9GjBjBdVkUDqFCkEM+/PBD7NmzB9nZ2ejatSu0Wu1tz2npgrdlyxbMnDnTARXyH4vFgj/++AMpKSnYunUrKisrERcXh3/84x+Ij48X5AVbr9dDqVTCzc0NQ4YMEWy+q8lkQk5ODsxmMyQSSbsj/IxGI+tTV15ejm7durGpJr1797a7KGQYhp01vVtHUwhcvXoV165dg1QqFdSxdksLRwzDsFnOfIyHZBgGq1atwtq1a3HkyBEMHTqU65KwdetWzJ49G+vXr8fIkSOxZs0abNu2DRcuXKAWNp0YKgQ55P3334enpydu3ryJDRs23FEI/vjjj5gyZQr7mKenJy/np7jk0KFDmD59OmbPno0ePXogLS0NxcXFmDhxIuRyOeLj4wVx4aurq4NSqYSPjw8nhtu2gnQ0SY6zrTqa1j51Go0GLi4ubKewpaPD+8ViseDcuXPsjKaQP3eFhYUoKiqCVCoVdJatSqXC2bNn4efnh7q6OtTW1sLLy4s9QubDe8QwDL744gt88sknOHToEOLi4rguCQAwcuRIDB8+HF999RWAW7/fgYGBWLRoEZYuXcpxdRSuoEKQB2zcuBGvvfbaHYXg9u3bIZfLHV6XUNiyZQvmzZuH9evXY9asWQBufcHl5uYiNTUVCoUCV65cwYQJEyCTyTBt2jR4enryTmRVV1dDqVSib9++GDBgAO/qay2NjY1QKpXo0aMHhg4dareOpsViQVVVFVQqVZOjQ+JVeL+i0GKx4OzZs6ivr4dUKhXsjKb1govQRSBJcLE2725oaGDHCLRaLdzd3dktdC7i7hiGwdq1a/HRRx/hwIEDvDl2NRgM6NmzJ1JSUppcT+bMmQOtVosdO3ZwVxyFU6gQ5AH3EoIBAQFobGxEaGgoXnrpJcydO1ewIsHWbN26FfPnz8e2bdswefLkFp/DMAzy8/ORkpIChUKB8+fPY+zYsZDJZEhISICvry/nP0+StxsaGor+/ftzWsv90NDQgMzMTHh6eiIqKsohSRLArffY2sDaaDQ2EYVt7UiSRR2j0Yi4uDheHj22BoZhcOXKFRQXFwt+waUlEdic5nF33bt3Z0WhI+LuGIbB999/j/feew/79u3D6NGj7frvtYWSkhL07dsXJ0+exAMPPMA+/uabb+Lo0aM4ffo0h9VRuESYE+idiP/93//F+PHj0bNnT/z22294+eWXUVtbi1dffZXr0njBo48+ioyMjLsevTg5OSEqKgrvvfce3n33XVy+fBkpKSmsAH/wwQchk8mQlJQEPz8/h4tClUqFc+fOITIyUtDRd3V1dcjMzIRIJEJkZKRDf45OTk7w8vKCl5cXwsPDWfPiy5cvIy8vr4lX4b1EnclkQnZ2NhiGEbwIJFvOw4YNE+S8LKE1IhAAunbtioCAAAQEBMBsNqO8vBwajYZdvCK/A/aIu2MYBps2bcK7776LXbt28UoEUih3g3YEbUx7co/v1hFsznvvvYcff/wRN27cuN9SOz0Mw+DatWtITU3F9u3b8eeff2LUqFFISkqCTCZD37597S5miKHv0KFDebv52Br4fKxdW1vLdgrJPBmZK2y+xWw92xgbGyvYRR2SqFNWVtbEt1GIaDQa5Obm3lcmNRkjIEfIZrOZjbtrT8e4OQzDYPPmzXjjjTewY8cOjB8//r7+PntAj4Ypd4IKQRvT1txjoG1CcM+ePUhISIBerxesSTIfYRgGN2/ehEKhgEKhwMmTJxEXFwe5XA6ZTIb+/fvbVNwQEXrt2jXExsYKOsNaq9UiKysLwcHBCAkJ4bqcu9LQ0MCKQp1OBw8PD1YUuri4QKlUolu3boiOjha0CLx48SJr3s0HD8b2YgsR2ByGYVBdXc0uHDU0NMDb25sdJWjPLOi2bdvwyiuvICUlpcliH98YOXIkRowYgf/85z8AbgnkoKAgLFy4kC6LdGKoEOQBbRGCH374IT799FNUVlbav7BOCsMwKCsrw/bt26FQKHD06FEMHTqUFYX32/EiF+qysjLExcUJeni/vLwcubm5CA8PF1xuamNjIysKq6qq4OTkxC64CPU9YRgGBQUFKC8vx7BhwwRtdWMPEdgSJN1Go9GgurqavTkQiUStEtFpaWmYP38+fvnlFyQmJtqtTluwdetWzJkzB9988w1GjBiBNWvW4Ndff0VBQYFdf8YUfkOFIIcUFRWhsrISO3fuxOrVq/H7778DAAYMGIBevXph165dUKlUGDVqFLp3746DBw9iyZIlWLJkCZYvX85x9Z0DhmFQUVGBHTt2ICUlBUeOHEFERARkMhlkMlmbLV6sUzbi4uIE3a0hqQ5RUVHo06cP1+W0G71ejzNnzqBr165wdXVFZWUlevTowXYKWxNzxgfIUlRlZaXg/Q7Ly8uRk5NjdxHYHL1ezxpYk7i7uxmZ7969G3PnzsXPP/+Mxx57zGF13g9fffUVaygdGxuLL7/8EiNHjuS6LAqHUCHIIc899xw2bdp02+Pp6ekYO3Ys9u/fj2XLluHy5ctgGAYDBgzAggULMH/+fIdtY1L+hmym7ty5E6mpqTh48CCCg4ORlJSE5ORkDBky5K7vi9lsRm5uLvR6fZtSNvhISUkJCgoKBD/bSLacvb29WVFvMpmaeBW6uro28Srkoyi0Nr0eNmwYL7z02gvpMkdFRcHf35+zOqyNzCsqKqDT6bB371489thjePTRR3H48GE8++yz+OGHH/Dkk09yVieFcr9QIUihtJPq6mrs3r0bqamp2L9/P/r06cOKQolE0kQUajQabNy4EWPHjkVsbKxgN1GBW53sy5cvIzY2Ft7e3lyX027IlrNYLEZERESLAo/EnBFR6OTkBJFIBD8/P3h5efHihoxhGJw7dw46nQ5SqZSKQDtA7IRWr16No0ePgmEYODs7Y+7cufjwww8F3X21JT/99BNef/11lJSUNLnRlcvlcHd3x88//8xhdZQ7QYUghWIDamtrsW/fPigUCuzZswfe3t5ITExEcnIyxGIxZDIZAgICsHv3bsGKQGtjYolEwuuc2ntRW1uLzMxMBAQEtHrm02KxNPEqNJvNTbwKuVgusU4+kUqlgu4yV1RUICcnB4MGDeL1qEF6ejreeOMN9O/fH5cuXYJGo8GUKVOQnJzMmtV3VhoaGtCnTx989913ePzxxwHcsv7p27cvfvvtN4wbN47jCiktwf3tLIU3fPjhhxg9ejR69ux5xy+zoqIiTJs2DT179oRYLMY///lPmEwmxxbKQ3r16oXHH38cW7ZsgUqlwpo1a6DT6SCXyzFmzBiIRCK89dZbvDxWbA1kweXmzZsYNmyYoEVgdXU1zpw5g8DAwDYt/jg7O8Pb2xuRkZF46KGH2OP9ixcvIiMjAzk5OSgtLYXRaLTzK7iFxWJBXl4eFYEO5NSpU3jqqafw2muv4cCBAygsLMSJEycwZMgQrF69GmKxGGvXruW6TM7o0aMHnn76afz444/sY//9738RFBSEsWPHclcY5a7QjiCF5V7Zx2azGbGxsfD398fq1atRWlqK2bNnY/78+fjoo4+4KZrH5OTkYPLkyXjggQfg5eWFnTt3wsXFBYmJiZDL5XjooYcE0R0k82dkCUHICy7E6iYkJATBwcE2+TsZhmniVVhXV9fEwNoe0XQdJf4OEI4IPHPmDJKSkvC///u/WLRoUYs3EIWFhejSpQuCgoI4qJAfZGVlYfjw4bh+/Tr69u2L6OhoPP7443j33Xe5Lo1yB6gQpNzGnexs9u3bh4SEBJSUlLCbfOvXr8dbb70FjUYj6IuRrfn999+RmJiIpUuXsp1Ao9GIo0ePIiUlBWlpaTAajUhMTIRMJsPYsWN52dEhXafa2lrExcUJev6ssrIS2dnZGDhwIAIDA+3279TX17OisLq6Gp6enuyyiS1+fiRHmywdCflzR94TvqfqZGdnY9q0aXjnnXewePFiwXb2HYVUKsWMGTMwadIkjBgxAteuXbPrZ45yf1AhSLmNOwnB9957Dzt37kR2djb72NWrVxEaGgqlUgmJROLYQnnKoUOHIJfL8fnnn2P+/PktPsdkMuH48eOsKKytrcXUqVMhl8sxYcIEXgyfkwF5g8EgeMFBlhAiIiLQt29fh/27er2eFYVarRbu7u6sKGxP2ofFYkFOTg4aGxshlUoF0VG+E0IRgXl5eYiPj8fixYuxbNkyKgJbwbp167BmzRo8+uijuHTpEg4cOMB1SZS7QIUg5TbuJARffPFFXL9+vcmHur6+Hm5ubti7dy/i4+MdXCk/KS4uhlKpbLW5rNlsxh9//MFG3VVUVGDy5MmQy+WYNGkSJ/FgRqORFfxC33ImObVc+x0aDAY24qyiouKeHnXNIcLcaDQKOgMZEI4IzM/PR3x8PBYsWIB//etfVAS2Ep1Oh4CAAJhMJvz000/UXofn0GWRDs7SpUvh5OR01/8KCgq4LrND0bdv3zYlDLi4uGDMmDH47LPPcOXKFRw6dAihoaFYvnw5goOD8fTTT+PXX39FdXW1Hav+G4PBgMzMTLi4uAhecJSVleHs2bMYOnQo5/NnXbt2Rd++fSGRSDB27FiEhISgtrYWf/75J06cOIGLFy9Cq9WipXtzs9mM7OxsmEwmwb8nRARGRETwWgRevHgRCQkJeP7556kIbCMeHh6YPn06evXq1STXmMJP7i9pm8J7Fi9ejOeee+6uzwkNDW3V3+Xv748///yzyWMqlYr9M8r94+zsjBEjRmDEiBFYsWIFcnNzkZKSglWrVuGll17CxIkTIZPJMG3aNHh4eNj84qTX66FUKtGrV697GmTzHWJ6HRMTA19fX67LaUKXLl3g7+8Pf39/mM1m1qswKysLLi4uTQysGYZBdnY2LBYL4uLi0KWLcL+2q6qqWBHoyCP6tlJYWIiEhAQ89dRT+Oijj6gIbAfFxcV45plneDn7TGkKPRqm3Ma9lkVKS0shFosBAN9++y3++c9/Qq1W0w+8HSGbuykpKVAoFMjPz8e4ceMgk8mQkJAAHx+f+75Y1dfXIzMzEz4+Pm2OzuMbN27cwKVLlwRnem2xWFBVVcXOFTIMAycnJ7i6ugreIqaqqgpZWVm8F4HXr1/HlClTkJiYiC+//FLQN0NcUFVVhYyMDMyYMQPnz59HREQE1yVR7gEVghSWe2UfE/uYgIAArFq1CmVlZZg1axbmzZtH7WMcCMMwuHTpEisKc3Jy8NBDD0EmkyExMRF+fn5tFnE1NTVQKpXo06cPBg4cKGgReO3aNVy9ehUSiUTQ5r5GoxFnzpxhfTqNRiN8fX3h5+cHHx8fQXUGiQgMDw9Hv379uC7njhQXF2PSpEmYNGkS1q1bR0VgOwgODkZVVRXeffddLFmyhOtyKK2ACkEKy72yj4Fbd8sLFixARkYG3NzcMGfOHHz88ceCuih1JBiGwdWrV9lFk7/++gujRo2CTCZj00zuJep0Oh2ysrIQFBSEkJAQwYpA8rMoKipCXFwcevfuzXVJ7cZoNCIrKwtdunRBTEwMnJ2dUVNTw3YKGxoamngV8nlmUKvVQqlU8l4ElpWVYfLkyXjwwQfx/fffc5IUQ6FwARWCFEoHgWEY3Lx5EwqFAgqFAidOnMCwYcMgk8kgl8sRFBR0m8g7efIk6uvrER4eLmgTXIZhcPnyZZSUlEAqlaJXr15cl9RujEYjlEolXF1dERMT06Igqa2thUajgUqlQm1tLby8vNi5Qj4dHxMD74EDB/JaBKrVasTHxyMuLg6bNm2iN7aUTgUVghRKB4RhGJSVlWH79u1ITU3FsWPHEB0dDblcDplMhrCwMGzevBmvvvoqfvrpJ0ybNo3rktsNwzC4cOEC1Go1pFIpJ3Y7tsJoNCIzMxPdunVjO4H3oqGhge0U6nQ69O7dG2KxGH5+fpz6URIROGDAAF6bCZeXl2PatGmIjIzE5s2bed1dpVDsARWCFEERHByM69evN3lsxYoVWLp0KUcV8R+GYVBeXo60tDSkpqYiPT0doaGhuHr1Kt577z38z//8j6CPg/Pz81FRUYFhw4bxwoi7vRgMBiiVSnTv3h3R0dHtmk9rbGxkvQorKyvRq1evJgbWjnqfhSICq6qqkJCQgP79++PXX38VtGk6hdJeqBCkCIrg4GC88MILTRI73N3dBd0FciQMw+DTTz/Fu+++i1GjRuHUqVMIDQ1FUlISkpOTMXjwYMEMyFssFpw/fx46nQ5SqVTQ8XfEu7Fnz54YOnSoTd4Do9HYxMC6e/furCjs3bu33UShTqeDUqnkvQjU6XTscpVCoeDVkTqF4kjoIARFcLi7u1PfwnaycuVKrFy5EocPH8bo0aOh0+mwe/duKBQKjB8/Hn369IFMJkNycjJiY2N5KwotFgvOnj2L+vp6DBs2TNAX8cbGRmRmZtrcu9HV1RUBAQEICAiA2WxGeXk51Go1lEolunTp0sSr0FaikIjAsLAwXovAmpoaPPbYY/D29kZqaqqgf38olPuFdgQpgiI4OBh6vR5GoxFBQUF4+umn8frrr9Ph7nvAMAyWLVuGH3/8EQcOHEBsbOxtz6mtrcXevXuhUCiwd+9eeHt7IykpCXK5HMOHD+fNFqXZbEZubi4aGxsFn4FMRGDv3r0RFRXlEOFtsVhQWVnJzhUCYEWht7d3u2uwFoF8Xjyqq6vD9OnT4eLigt27d9PTBEqnhwpBiqD47LPPEBcXB29vb5w8eRLLli3D3Llz8dlnn3FdGq8xGo148cUXsWzZMoSHh9/z+fX19fjtt9+QmprKXiyJKHzggQc4E4Ukas1sNkMikQh6sF+v1yMzMxOenp6IioriZE7TYrFAq9WyotBsNkMkEkEsFsPHx6fV7zMRgaGhoejfv7+dq24/DQ0NmDFjBoxGI/bt2wd3d3euS6JQOIcKQQrnLF26FCtXrrzrc/Lz8xEZGXnb4z/88AP+8Y9/oLa2lh7v2Am9Xo/Dhw8jNTUVO3fuRJcuXZCYmAi5XI4HH3zQYWLMZDIhKysLTk5OiI2NFXQXuKGhAZmZmfD29uZNigvDMKiuroZarYZKpUJjYyN8fX0hFovh6+t7x/e5uroamZmZvBeBer0eM2fORHV1NQ4cOAAPDw+uS6JQeAEVghTO0Wg0qKiouOtzQkNDWzwCPHfuHIYMGYKCggIaZeQAjEYjMjIykJKSgrS0NJjNZiQmJkImk2Hs2LF2O6ZtjbeeUGhoaMCZM2fg6+uLyMhIXojA5jAMg7q6OqhUKqjVatTV1cHb25s9QibvMxGBISEhCA4O5rbou9DY2Ihnn30WKpUKBw8ehJeXF9cl4cMPP8SePXuQnZ2Nrl273hbpCdxKe1qwYAHS09PRq1cvzJkzBytWrBD0TRCFf1AhSBE0//d//4fZs2ejvLycF1/unQmTyYTjx49j27ZtSEtLQ319PaZOnQqZTIaJEyfabIuXbNT26NGj3bYqfIHkOYtEIkRERPBSBLZEfX09e3xcXV0NT09P9O7dGzdv3kRoaCivRaDRaMTs2bNx7do1HDlyBD4+PlyXBAB4//334enpiZs3b2LDhg23CUES6env74/Vq1ejtLQUs2fPxvz582mkJ8WmUCFIEQynTp3C6dOnMW7cOLi7u+PUqVN4/fXXER8f32I0HsVxmM1mnDp1io26q6ysxJQpUyCXy/Hoo4+2eyBfr9dDqVTafKOWC+rr63HmzBn4+fkhPDxcMCKwOXq9Hjdu3MD169fBMAxrYE28CvmEyWTCCy+8gPz8fBw5cgRisZjrkm5j48aNeO21124Tgvv27UNCQgJKSkrg5+cHAFi/fj3eeustaDQaQS9JUfiFcL9VKZ2Obt264ZdffsEjjzyCwYMH48MPP8Trr7+Ob7/9luvSOj0uLi548MEH8fnnn6OwsBAHDx5EcHAw3n//fQQHB+OZZ57Br7/+ipqamlb/neQI1cPDw2beelxRV1eHM2fOwN/fX9AiELjVYSsuLkZYWBgeeeQR9OvXD1qtFqdOncLJkydx+fJl1NTUgOseg9lsxoIFC5CXl4dDhw7xUgTejVOnTmHo0KGsCASAyZMno7q6GufOneOwMkpHg3YEKRSK3bBYLMjJyUFKSgoUCgWuXbuGiRMnIikpCdOmTYOHh0eLoqi2thZZWVmCO0JtidraWmRmZiIgIAADBgwQ9GupqalBZmYm+vfvj5CQkCZ/ZjKZWK/C8vJydO3ale0U3ul9thdmsxmvvvoqjh8/joyMDPTt29dh/3ZbuVNH8MUXX8T169dx4MAB9rH6+nq4ublh7969iI+Pd3CllI6KcG+xKRQK73F2doZEIsGHH36I8+fP46+//oJUKsVXX32FkJAQTJ8+HZs2bUJFRQXbQcrMzMTIkSPh7OzcYURg3759O7QIBIAuXbrA398f0dHReOSRRxAREQGj0YisrCwcO3aMjQK0WCx2rdNisWDx4sU4evQoDh065FARuHTpUjg5Od31v4KCAofVQ6G0Brp6RKG0g6+//hqrV69GWVkZYmJi8J///AcjRozguixe4+TkhCFDhmDIkCF4//33cfHiRaSmpmLDhg149dVX8dBDD2HUqFH4+uuv8fTTT+OBBx7oEMIpMDAQYWFhXJdzXxBBGxQU1KIIbI6LiwtEIhFEIhEGDRqEqqoqqNVq5OXlgWEY1qvQ29vbphvgFosFS5cuxf79+5GRkeFwO5vFixfjueeeu+tzQkNDW/V3+fv7488//2zymEqlYv+MQrEV9GiYQmkjW7duxezZs7F+/XqMHDkSa9aswbZt23DhwgXBzSHxAYZhUFhYiM8//xzffPMNQkND4efnB5lMhqSkJAQEBAhOEFZXV0OpVN6xeyYkamtrcebMGQQFBbVaxNwJhmGg0+lYr0Kj0djEq/B+bFEsFgveffdd/Prrr0hPT2+VcTofuNeySGlpKfu98u233+Kf//wn1Go19U2l2AwqBCmUNjJy5EgMHz4cX331FYBbF6DAwEAsWrQIS5cu5bg6YXLs2DEkJibigw8+gFwuh0KhgEKhwMmTJzF8+HDIZDLIZDIEBQXxXhSSlA2+e+u1BiIC7dHVZBgGtbW1rFdhQ0MDvL294efnB19f3zZtxTIMgw8++AAbN25Eeno6Bg0aZNNa7UFRUREqKyuxc+dOrF69Gr///jsAYMCAAejVqxdrHxMQEIBVq1ahrKwMs2bNwrx586h9DMWmUCFIobQBg8GAnj17IiUlBXK5nH18zpw50Gq12LFjB3fFCZSDBw/isccew+eff4558+axjzMMg9LSUmzfvh2pqan4/fffERMTw4rCsLAw3olCoUSttQZyHNyvXz+HHG3X1dWxXoU1NTXw8vKCWCyGSCS6qyclwzBYuXIl1q1bhyNHjmDo0KF2r9UWPPfccy3aXqWnp2Ps2LEAgOvXr2PBggXIyMiAm5sb5syZg48//pgaSlNsChWCFEobKCkpQd++fXHy5Ek88MAD7ONvvvkmjh49itOnT3NYnfCoqqrCgAED8OWXX+KZZ5654/MYhkF5eTkrCknXRyaTQS6X82KpRKvVIisrC2FhYQgKCuK0lvvFesmFC8Hd0NAAjUYDlUoFnU7XxKuwZ8+e7PMYhsGaNWvw6aef4vDhw5BIJA6tk0LpCNDbCgqFwhleXl7Iz8+/52ylk5MTRCIRXnzxRcyfPx9VVVXYsWMHFAoFVq1ahbCwMCQlJSE5ORlRUVEO9xysqqpCVlYWBg4ciMDAQIf+27amrq6OUxEIAD169EBQUBCCgoLQ2NgIjUYDtVqNw4cP44svvsDkyZPx+OOP4/Tp0/jkk09w4MABKgIplHZChSCF0gZ8fX3h4uLCbu8RVCoV3eRrJ21dsHFycoK3tzfmzp2LuXPnQqfTYdeuXVAoFBg7diz69u0LuVwOuVyOmJgYu4vCyspKZGdnIzw8HP369bPrv2VviPE1lyKwOd26dUO/fv3Qr18/BAcHw2g0YufOnfj+++/h7OyMGTNmwMnJCQzD8KJeCkVoUB9BCqUNdO3aFVKpFIcPH2Yfs1gsOHz4cJOjYorj8PDwwLPPPguFQgGVSoV///vfKCoqwpQpUzB06FAsW7YMp0+ftot/XUVFBbKzsxEREdFhRGBAQABvRGBzvL298Y9//ANPPPEEevXqhXfeeQcA8OijjyIoKAj/8z//g6NHj8JsNnNcKYUiHOiMIIXSRrZu3Yo5c+bgm2++wYgRI7BmzRr8+uuvKCgoaBIHReGW+vp6HDhwAKmpqdi9ezfc3d2RlJQEmUyGBx544L7968rLy5Gbm4vIyEgEBATYqGpusBaBfDa+ZhgGmzdvxhtvvIEdO3Zg/PjxAG4tcR05cgQKhQJpaWl46qmn8MUXX3BcLYUiDKgQpFDawVdffcUaSsfGxuLLL7/EyJEjuS6Lcgf0ej0OHTqE1NRU7Ny5E127dkVCQgKSk5MxZswYuLq6tunv02g0OHv2LAYNGoQ+ffrYqWrHQGYC+/Tpw3sRuG3bNixcuBApKSmYMmVKi88zm82oqamBp6enYwukUAQKFYIUCqVTYTQakZ6ejpSUFOzYsQMWiwXTpk1DcnIyHnnkkXv612k0GuTm5mLIkCGC7wDX19fjzJkz8Pf3x8CBA3krAgEgLS0NL774In755RckJCRwXQ6F0mGgQpBCoXRaTCYTfv/9d6SkpCAtLQ319fWYNm0aZDIZJkyYcJt/XUpKClxcXDB69GgqAh3I7t27MXfuXPz3v/9FcnIy1+VQKB0KKgQpFAoFt44UT548idTUVGzfvh1arRZTpkyBXC7Ho48+iq1bt2Lx4sX4/vvv8dhjj3Fd7n1BRKCfnx/Cw8N5LQIPHDiAWbNmYcOGDXjyySe5LodC6XBQIUihCJx//etfWL58eZPHIiIiUFBQwFFFwsdiseDPP/9kRaFarYbBYMDChQvxz3/+E+7u7lyX2G7q6+uRmZkJsVjMexF45MgRzJw5E+vXr8czzzzD61opFKFC7WMolA7A4MGDUVpayv53/PhxrksSNM7Ozhg1ahRWr16N999/HyaTCcnJydi9ezeCg4Px5JNPYvPmzdBqtRDSvXRDQ4NgROCxY8fw1FNPsakzfK6VQhEyVAhSKB2ALl26wN/fn/3P19eX65I6BJs2bcKCBQuwc+dObNmyBfn5+fjzzz8RFxeHL7/8EiEhIZg+fTp++uknVFRU8FoUNjQ04MyZMxCJRLwXgadOncITTzyBVatWYe7cubyulUIROlQIUigdgEuXLiEgIAChoaF45plnUFRUxHVJgmfDhg1YuHAhdu3ahYkTJwK4lWoydOhQLF++HDk5OcjJycFDDz2E7777jo2527BhA9RqNa9EobUI5EMu893466+/MH36dPz73//GSy+9xOtaKZSOAJ0RpFAEzr59+1BbW4uIiAiUlpZi+fLlKC4uRl5enqBn2bhm9erVGDlyJB5++OF7PpdhGBQWFiI1NRUKhQKZmZl44IEHIJfLkZSUhD59+nAmaIgI9PX1RWRkJK+FVVZWFhISEvDOO+9g8eLFvK6VQukoUCFIoXQwtFot+vfvj88++wwvvPAC1+V0OhiGQVFRERQKBRQKBU6dOoURI0ZAJpNBJpMhMDDQYQKHzAT6+PjwXgSePXsWU6dOxeLFi7Fs2TJe10qhdCSoEKRQOiDDhw/HxIkTsWLFCq5L6dQwDIOSkhJs374dqampOH78OGJjY1lRGBoaajfBo9frcebMGXh7e2PQoEG8Flbnz5/H1KlT8fLLL+P999/nda0USkeDzghSKB2M2tpaXLlyRfDRZx0BJycn9O3bFwsXLsSRI0dw8+ZNzJs3D8eOHYNUKsWYMWOwcuVKXLhwwaYzhUISgRcvXkRiYiJeeOEFKgIpFA6gHUEKReAsWbIEiYmJ6N+/P0pKSvD+++8jOzsb58+fh0gk4ro8SgswDIPKykrs2LEDCoUChw4dQlhYGGQyGZKTkzFo0CA4O7fvPl1IIvDKlSuIj4/Hk08+idWrV7f7NVMolPZDhSCFInBmzpyJY8eOoaKiAiKRCA8++CA+/PBDhIWFcV0apZVotVrs2rULCoUCBw4cQL9+/VhRGB0d3WqBRESgl5cXoqKieC0Cr127hvj4eCQmJuLLL7+kIpBC4QgqBCkUCoVH1NTUYO/evUhNTcW+ffvg6+sLmUwGuVyOYcOG3VEw6fV6ZGZmwtPTk/cisLi4GJMmTcKkSZOwbt06KgIpFA6hnz4K5Q5oNBr4+/vjo48+Yh87efIkunbtisOHD3NYGaUj4+7ujieffBK//vorVCoVPv30U2g0GsjlckRFReHNN9/EiRMnYDab2f/P1atXMWXKFFgsFt6LwNLSUkydOhXjxo3D2rVrqQikUDiGfgIplDsgEonwww8/4F//+hfOnDmDmpoazJo1CwsXLsSECRO4Lo93HDt2DImJiQgICICTkxPS0tKa/DnDMHjvvffQp08f9OjRAxMnTsSlS5e4KVYg9OzZE4899hj+7//+D2VlZfj6669RW1uLJ598EuHh4XjttdegUCgwZcoUiMViPPDAA7wWgWq1GgkJCRgxYgS+++47uLi4cF0ShdLpoUKQQrkLU6dOxfz58/HMM8/gpZdegpubG7VkuQN1dXWIiYnB119/3eKfr1q1Cl9++SXWr1+P06dPw83NDZMnT4Zer3dwpcKke/fuSExMxMaNG1FWVoaNGzeirq4O8+bNg5ubG3x8fJCRkQGDwcB1qS1SXl6OxMREDB06FJs2beJcBF67dg0vvPACQkJC0KNHD4SFheH999+/7eeXm5uLhx56CN27d0dgYCBWrVrFUcUUin2gM4IUyj1oaGjAkCFDcOPGDWRmZmLo0KFcl8R7nJycsH37dsjlcgC3uoEBAQFYvHgxlixZAgDQ6XTw8/PDxo0bMXPmTA6rFSZlZWUYN24cpFIp5syZg+3btyMtLQ16vR7Tpk2DXC7HuHHj0L17d65LRVVVFRISEtC/f3/8+uuv6Nq1K9clYf/+/di6dSueeuopDBgwAHl5eZg/fz5mzZqFTz75BABQXV2N8PBwTJw4EcuWLcPZs2fx/PPPY82aNXjxxRc5fgUUim2gQpBCuQd5eXkYPnw4jEYjtm/fjsTERK5L4j3NhWBhYSHCwsKQlZWF2NhY9nmPPPIIYmNj8cUXX3BTqEBRqVSsCNy4cSPbXTObzThx4gRSU1Oxfft26HQ6xMfHQy6XY+LEiejZs6fDa9XpdEhMTISfnx8UCgW6devm8Bpay+rVq7Fu3ToUFhYCANatW4d33nkHZWVlrHhdunQp0tLSUFBQwGWpFIrNoEfDFMpdMBgMePbZZ/Hkk0/igw8+wLx586BWq7kuS3CUlZUBAPz8/Jo87ufnx/4ZpXU0NjZiwoQJkEgkTUQgALi4uODhhx/GF198gWvXrrFWNO+88w6Cg4Mxa9YspKSkoLa21iG11tTUIDk5Gd7e3khNTeW1CARuiVZvb2/2f586dQoPP/xwkw7m5MmTceHCBVRVVXFRIoVic6gQpFDuwjvvvAOdTocvv/wSb731FsLDw/H8889zXRalE9OtWzd88cUX95yzc3Z2xqhRo/DJJ5/g0qVLOHr0KMLDw/Hhhx8iODgYM2fOxJYtW6DT6WyaakKoq6vDjBkz0KNHD6SlpfHiiPpuXL58Gf/5z3/wj3/8g32srKysxZsX8mcUSkeACkEK5Q5kZGRgzZo1+Pnnn9G7d284Ozvj559/xu+//45169ZxXZ6g8Pf3B3DrSNMalUrF/hml9UyYMAFdunRp9fOdnZ0hlUqxYsUKFBQU4PTp04iNjcWaNWsQHByMGTNm4KeffkJlZaVNRGFDQwOeeOIJAMCuXbsceiS9dOlSODk53fW/5se6xcXFmDJlCh5//HHMnz/fYbVSKHyAzghSKBSbc6dlkSVLlmDx4sUAbg3ii8ViuizCIQzDoKCgACkpKdi+fTvy8vLw8MMPQy6XIyEhASKRqM12NHq9HjNnzkRNTQ32798PDw8PO1XfMhqNBhUVFXd9TmhoKHvcW1JSgrFjx2LUqFHYuHFjE1/D2bNno7q6uokVUnp6OsaPH4/Kykp4eXnZ5TVQKI6ECkEKhWITamtrcfnyZQCARCLBZ599hnHjxsHb2xtBQUFYuXIlPv74Y2zatAkhISF49913kZubi/Pnz/P+2LAzwDAMrly5gtTUVCgUCiiVSowePRoymQxJSUno06fPPUVhY2Mjnn32WahUKhw8eJD3Qqm4uJhduvnvf/9721E7WRZRqVRwdXUFALz99ttQKBR0WYTSYaBCkEKh2ISMjAyMGzfutsfnzJmDjRs3gmEYvP/++/j222+h1Wrx4IMPYu3atQgPD+egWsrdYBgGRUVFrCg8ffo0RowYgaSkJMhkMgQGBt4mCo1GI2bPno3r16/j8OHD8PHx4aj61lFcXIyxY8eif//+t81bknEFnU6HiIgITJo0CW+99Rby8vLw/PPP4/PPP6f2MZQOAxWCFAqFQrkjDMOgpKQECoUCCoUCx48fh0QigUwmg0wmQ0hICMxmM1544QXk5+cjPT0dIpGI67LvycaNGzF37twW/8z6spibm4tXXnkFf/31F3x9fbFo0SK89dZbjiqTQrE7VAhSKBQKpVUwDAOVSoW0tDQoFApkZGRg0KBBcHJyQn19PY4dO0aXfygUgUGFIIVCoVDaDMMwqKysxObNm/Hxxx/j6NGjGDBgANdlUSiUNkLtYygUSofn2LFjSExMREBAAJycnJpsgQLAc889d5vFyJQpU7gpViA4OTnBx8cHixYtQnFxMRWBFIpAoUKQQqF0eOrq6hATE4Ovv/76js+ZMmUKSktL2f+2bNniwAopFAqFG1rvSEqhUCgCJT4+HvHx8Xd9Trdu3eh8G4VC6XTQjiCFQqHglv2NWCxGREQEFixYcE9TYgqFQukI0I4ghULp9EyZMgWPPfYYQkJCcOXKFbz99tuIj4/HqVOn7prnS6FQKEKHCkEKhdLpsY64Gzp0KKKjoxEWFoaMjAxMmDCBw8ooFArFvtCjYQqFQmlGaGgofH192cg8CoVC6ahQIUihUCjNuHnzJioqKtCnTx+uS6FQKBS7Qo+GKRRKh6e2trZJd+/q1avIzs6Gt7c3vL29sXz5ckyfPh3+/v64cuUK3nzzTQwYMACTJ0/msGoKhUKxPzRZhEKhdHgyMjIwbty42x6fM2cO1q1bB7lcjqysLGi1WgQEBGDSpEn44IMP4Ofnx0G1FAqF4jioEKRQKBQKhULppNAZQQqFQqFQKJROChWCFAqFQqFQKJ0UKgQpFAqFI1asWIHhw4fD3d0dYrEYcrkcFy5caPIcvV6PV155BT4+PujVqxemT58OlUrFUcUUCqWjQYUghUKhcMTRo0fxyiuv4I8//sDBgwdhNBoxadIk1NXVsc95/fXXsWvXLmzbtg1Hjx5FSUkJHnvsMQ6rplAoHQm6LEKhUCg8QaPRQCwW4+jRo3j44Yeh0+kgEomwefNmzJgxAwBQUFCAQYMG4dSpUxg1ahTHFVMoFKFDO4IUCoXCE3Q6HQDA29sbAJCZmQmj0YiJEyeyz4mMjERQUBBOnTrFSY0UCqVjQYUghUKh8ACLxYLXXnsNY8aMwZAhQwAAZWVl6Nq1Kzw9PZs818/PD2VlZRxUSaFQOho0WYRCoVB4wCuvvIK8vDwcP36c61IoFEongnYEKRQKhWMWLlyI3bt3Iz09Hf369WMf9/f3h8FggFarbfJ8lUoFf39/B1dJoVA6IlQIUigUCkcwDIOFCxdi+/btOHLkCEJCQpr8uVQqhaurKw4fPsw+duHCBRQVFeGBBx5wdLkUCqUDQreGKRQKhSNefvllbN68GTt27EBERAT7uIeHB3r06AEAWLBgAfbu3YuNGzeid+/eWLRoEQDg5MmTnNRMoVA6FlQIUigUCkc4OTm1+PiPP/6I5557DsAtQ+nFixdjy5YtaGxsxOTJk7F27Vp6NEyhUGwCFYIUCoVCoVAonRQ6I0ihUCgUCoXSSaFCkEKhUCgUCqWTQoUghUKhUCgUSieFCkEKhUKhUCiUTgoVghQKhUKhUCidFCoEKRQKhUKhUDopVAhSKBQKhUKhdFKoEKRQKBQKhULppFAhSKFQKBQKhdJJoUKQQqFQKBQKpZNChSCFQqFQKBRKJ4UKQQqFQqFQKJROChWCFAqFQqFQKJ0UKgQpFAqFQqFQOilUCFIoFAqFQqF0UqgQpFAoFAqFQumkUCFIoVAoFAqF0kmhQpBCoVAoFAqlk0KFIIVCoVAoFEonhQpBCoVCoVAolE4KFYIUCoVCoVAonRQqBCkUCoVCoVA6KVQIUigUCoVCoXRSqBCkUCgUCoVC6aT8f9p/2vClHZQ9AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10, 8))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "ax.plot(data[:, 0], data[:, 1], data[:, 2], lw=0.5, color='blue')\n",
    "ax.set_xlabel('x')\n",
    "ax.set_ylabel('y')\n",
    "ax.set_zlabel('z')\n",
    "ax.set_title('3D Lorenz Attractor')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 选择训练和测试数据\n",
    "# train_data = data[:700]\n",
    "# test_data = data[700:1500]\n",
    "\n",
    "# 将训练和测试数据的前两列作为输入，第三列作为输出\n",
    "#X_train = train_data[:, :2]\n",
    "#y_train = train_data[:, 2]\n",
    "#X_test = test_data[:, :2]\n",
    "#y_test = test_data[:, 2]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 构造输入特征，每个样本是过去20个时间点的x,y,z，用0填充不足的部分\n",
    "data_extended = np.vstack([np.zeros((19, 3)), data])  # 前面填充19行0\n",
    "X_new = np.zeros((len(data), 20 * 3))\n",
    "for k in range(len(data)):\n",
    "    window = data_extended[k:k+20]  # 获取20个时间点的数据\n",
    "    X_new[k] = window.flatten()\n",
    "\n",
    "# 划分训练集和测试集\n",
    "X_train = X_new[:700]\n",
    "y_train = data[:700, 0]\n",
    "X_test = X_new[700:]\n",
    "y_test = data[700:, 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义多层感知机回归模型\n",
    "# mlp = MLPRegressor(hidden_layer_sizes=(200), max_iter=100, learning_rate_init=0.1, alpha=0.0001, solver='adam',activation = 'relu')\n",
    "\n",
    "# 训练模型\n",
    "# mlp.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 激活函数：ReLU 和 ReLU 的导数\n",
    "def relu(x):\n",
    "    return np.maximum(0, x)\n",
    "\n",
    "def relu_derivative(x):\n",
    "    return np.where(x > 0, 1, 0)\n",
    "\n",
    "# 损失函数：均方误差\n",
    "def mse_loss(y_true, y_pred):\n",
    "    return np.mean((y_true - y_pred) ** 2)\n",
    "\n",
    "# 多层感知机实现\n",
    "class MLP:\n",
    "    def __init__(self, input_size, hidden_layer_size, output_size, learning_rate=0.1):\n",
    "        # 初始化参数\n",
    "        self.learning_rate = learning_rate\n",
    "        \n",
    "        # 输入到隐藏层的权重和偏置\n",
    "        self.W1 = np.random.randn(input_size, hidden_layer_size) * 0.01\n",
    "        self.b1 = np.zeros((1, hidden_layer_size))\n",
    "        \n",
    "        # 隐藏层到输出层的权重和偏置\n",
    "        self.W2 = np.random.randn(hidden_layer_size, output_size) * 0.01\n",
    "        self.b2 = np.zeros((1, output_size))\n",
    "        \n",
    "    def forward(self, X):\n",
    "        # 前向传播\n",
    "        self.Z1 = np.dot(X, self.W1) + self.b1  # 隐藏层加权输入\n",
    "        self.A1 = relu(self.Z1)  # 隐藏层激活函数\n",
    "        self.Z2 = np.dot(self.A1, self.W2) + self.b2  # 输出层加权输入\n",
    "        return self.Z2  # 输出层是线性激活\n",
    "\n",
    "    def backward(self, X, y, output):\n",
    "        # 反向传播\n",
    "        m = X.shape[0]  # 样本数量\n",
    "        # 输出层误差\n",
    "        dZ2 = output - y\n",
    "        dW2 = np.dot(self.A1.T, dZ2) / m  # 修正: A1.T (200, 700) 与 dZ2 (700, 1)\n",
    "        db2 = np.sum(dZ2, axis=0, keepdims=True) / m\n",
    "        \n",
    "        # 隐藏层误差\n",
    "        dA1 = np.dot(dZ2, self.W2.T)  # 修正: W2.T (1, 200) 需要与 dZ2 兼容\n",
    "        dZ1 = dA1 * relu_derivative(self.Z1)\n",
    "        dW1 = np.dot(X.T, dZ1) / m  # 修正: X.T (60, 700) 与 dZ1 (700, 200)\n",
    "        db1 = np.sum(dZ1, axis=0, keepdims=True) / m\n",
    "        \n",
    "        # 权重和偏置更新\n",
    "        self.W1 -= self.learning_rate * dW1\n",
    "        self.b1 -= self.learning_rate * db1\n",
    "        self.W2 -= self.learning_rate * dW2\n",
    "        self.b2 -= self.learning_rate * db2\n",
    "\n",
    "    def fit(self, X, y, epochs=100):\n",
    "        for epoch in range(epochs):\n",
    "            # 前向传播\n",
    "            output = self.forward(X)\n",
    "            \n",
    "            # 计算损失（可以用于监控训练过程）\n",
    "            loss = mse_loss(y, output)\n",
    "            if epoch % 10 == 0:\n",
    "                print(f\"Epoch {epoch}, Loss: {loss}\")\n",
    "            \n",
    "            # 反向传播\n",
    "            self.backward(X, y, output)\n",
    "\n",
    "    def predict(self, X):\n",
    "        return self.forward(X)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 0, Loss: 69.81355831225493\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "shapes (700,700) and (1,200) not aligned: 700 (dim 1) != 1 (dim 0)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[148], line 11\u001b[0m\n\u001b[0;32m      8\u001b[0m mlp \u001b[38;5;241m=\u001b[39m MLP(input_size, hidden_layer_size, output_size, learning_rate)\n\u001b[0;32m     10\u001b[0m \u001b[38;5;66;03m# 训练模型\u001b[39;00m\n\u001b[1;32m---> 11\u001b[0m \u001b[43mmlp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m100\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m     13\u001b[0m \u001b[38;5;66;03m# 使用训练好的模型进行预测\u001b[39;00m\n\u001b[0;32m     14\u001b[0m y_pred \u001b[38;5;241m=\u001b[39m mlp\u001b[38;5;241m.\u001b[39mpredict(X_test)\n",
      "Cell \u001b[1;32mIn[145], line 64\u001b[0m, in \u001b[0;36mMLP.fit\u001b[1;34m(self, X, y, epochs)\u001b[0m\n\u001b[0;32m     61\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mEpoch \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mepoch\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, Loss: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mloss\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m     63\u001b[0m \u001b[38;5;66;03m# 反向传播\u001b[39;00m\n\u001b[1;32m---> 64\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbackward\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moutput\u001b[49m\u001b[43m)\u001b[49m\n",
      "Cell \u001b[1;32mIn[145], line 42\u001b[0m, in \u001b[0;36mMLP.backward\u001b[1;34m(self, X, y, output)\u001b[0m\n\u001b[0;32m     39\u001b[0m db2 \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39msum(dZ2, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, keepdims\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m) \u001b[38;5;241m/\u001b[39m m\n\u001b[0;32m     41\u001b[0m \u001b[38;5;66;03m# 隐藏层误差\u001b[39;00m\n\u001b[1;32m---> 42\u001b[0m dA1 \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdZ2\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mW2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mT\u001b[49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m# 修正: W2.T (1, 200) 需要与 dZ2 兼容\u001b[39;00m\n\u001b[0;32m     43\u001b[0m dZ1 \u001b[38;5;241m=\u001b[39m dA1 \u001b[38;5;241m*\u001b[39m relu_derivative(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mZ1)\n\u001b[0;32m     44\u001b[0m dW1 \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mdot(X\u001b[38;5;241m.\u001b[39mT, dZ1) \u001b[38;5;241m/\u001b[39m m  \u001b[38;5;66;03m# 修正: X.T (60, 700) 与 dZ1 (700, 200)\u001b[39;00m\n",
      "File \u001b[1;32m<__array_function__ internals>:200\u001b[0m, in \u001b[0;36mdot\u001b[1;34m(*args, **kwargs)\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: shapes (700,700) and (1,200) not aligned: 700 (dim 1) != 1 (dim 0)"
     ]
    }
   ],
   "source": [
    "# 定义模型\n",
    "input_size = X_train.shape[1]  # 输入特征的数量\n",
    "hidden_layer_size = 200       # 隐藏层神经元数量\n",
    "output_size = 1               # 输出层为一个值\n",
    "learning_rate = 0.1           # 学习率\n",
    "\n",
    "# 创建 MLP 对象\n",
    "mlp = MLP(input_size, hidden_layer_size, output_size, learning_rate)\n",
    "\n",
    "# 训练模型\n",
    "mlp.fit(X_train, y_train, 100)\n",
    "\n",
    "# 使用训练好的模型进行预测\n",
    "y_pred = mlp.predict(X_test)\n",
    "\n",
    "# 可视化预测结果和真实值对比\n",
    "plt.plot(y_test, label=\"True Values\")\n",
    "plt.plot(y_pred, label=\"Predicted Values\")\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 0, Loss: 69.57409077338787\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "shapes (700,700) and (1,200) not aligned: 700 (dim 1) != 1 (dim 0)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[134], line 5\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m51\u001b[39m):\n\u001b[0;32m      4\u001b[0m     mlp\u001b[38;5;241m.\u001b[39mmax_iter \u001b[38;5;241m=\u001b[39m i\n\u001b[1;32m----> 5\u001b[0m     \u001b[43mmlp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_train\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m      6\u001b[0m     train_errors\u001b[38;5;241m.\u001b[39mappend(mean_squared_error(y_train, mlp\u001b[38;5;241m.\u001b[39mpredict(X_train)))\n\u001b[0;32m      8\u001b[0m plt\u001b[38;5;241m.\u001b[39mplot(\u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m51\u001b[39m), train_errors, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTraining Error\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "Cell \u001b[1;32mIn[132], line 64\u001b[0m, in \u001b[0;36mMLP.fit\u001b[1;34m(self, X, y, epochs)\u001b[0m\n\u001b[0;32m     61\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mEpoch \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mepoch\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, Loss: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mloss\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m     63\u001b[0m \u001b[38;5;66;03m# 反向传播\u001b[39;00m\n\u001b[1;32m---> 64\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbackward\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moutput\u001b[49m\u001b[43m)\u001b[49m\n",
      "Cell \u001b[1;32mIn[132], line 42\u001b[0m, in \u001b[0;36mMLP.backward\u001b[1;34m(self, X, y, output)\u001b[0m\n\u001b[0;32m     39\u001b[0m db2 \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39msum(dZ2, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, keepdims\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m) \u001b[38;5;241m/\u001b[39m m\n\u001b[0;32m     41\u001b[0m \u001b[38;5;66;03m# 隐藏层误差\u001b[39;00m\n\u001b[1;32m---> 42\u001b[0m dA1 \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdZ2\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mW2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mT\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     43\u001b[0m dZ1 \u001b[38;5;241m=\u001b[39m dA1 \u001b[38;5;241m*\u001b[39m relu_derivative(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mZ1)\n\u001b[0;32m     44\u001b[0m dW1 \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mdot(X\u001b[38;5;241m.\u001b[39mT, dZ1) \u001b[38;5;241m/\u001b[39m m\n",
      "File \u001b[1;32m<__array_function__ internals>:200\u001b[0m, in \u001b[0;36mdot\u001b[1;34m(*args, **kwargs)\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: shapes (700,700) and (1,200) not aligned: 700 (dim 1) != 1 (dim 0)"
     ]
    }
   ],
   "source": [
    "# 绘制均方误差与epoch的关系\n",
    "train_errors = []\n",
    "for i in range(1, 51):\n",
    "    mlp.max_iter = i\n",
    "    mlp.fit(X_train, y_train, epochs = 50)\n",
    "    train_errors.append(mean_squared_error(y_train, mlp.predict(X_train)))\n",
    "\n",
    "plt.plot(range(1, 51), train_errors, label=\"Training Error\")\n",
    "plt.xlabel(\"Epochs\")\n",
    "plt.ylabel(\"Mean Squared Error\")\n",
    "plt.title(\"Training MSE vs Epochs\")\n",
    "plt.show()\n",
    "\n",
    "# 使用训练好的模型进行预测\n",
    "y_pred = mlp.predict(X_test)\n",
    "\n",
    "# 绘制预测结果与真实数据的对比\n",
    "plt.plot(y_test, label=\"True Values\")\n",
    "plt.plot(y_pred, label=\"Predicted Values\")\n",
    "plt.xlabel(\"Time Step\")\n",
    "plt.ylabel(\"Z Value\")\n",
    "plt.title(\"Prediction vs Actual Lorenz Attractor\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
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